{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T10:10:02Z","timestamp":1748427002423,"version":"3.41.0"},"publisher-location":"Cham","reference-count":50,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319193236"},{"type":"electronic","value":"9783319193243"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-19324-3_9","type":"book-chapter","created":{"date-parts":[[2015,6,4]],"date-time":"2015-06-04T15:39:34Z","timestamp":1433432374000},"page":"90-101","source":"Crossref","is-referenced-by-count":5,"title":["Adaptation of RBM Learning for Intel MIC Architecture"],"prefix":"10.1007","author":[{"given":"Tomasz","family":"Olas","sequence":"first","affiliation":[]},{"given":"Wojciech K.","family":"Mleczko","sequence":"additional","affiliation":[]},{"given":"Robert K.","family":"Nowicki","sequence":"additional","affiliation":[]},{"given":"Roman","family":"Wyrzykowski","sequence":"additional","affiliation":[]},{"given":"Adam","family":"Krzyzak","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"9_CR1","unstructured":"Bilski, J., Nowicki, R., Scherer, R., Litwi\u0144ski, S.: Application of signal processor TMS320c30 to neural networks realisation. In: Proceedings of the Second Conference Neural Networks and Their Applications, Cz\u00eastochowa, pp. 53\u201359 (1996)"},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Bilski, J., Smolag, J.: Parallel architectures for learning the RTRN and Elman dynamic neural networks. IEEE Transactions on Parallel and Distributed Systems PP(99) (2014)","DOI":"10.1109\/TPDS.2014.2357019"},{"key":"9_CR3","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1007\/978-3-540-24844-6_19","volume-title":"Artificial Intelligence and Soft Computing - ICAISC 2004","author":"J. Bilski","year":"2004","unstructured":"Bilski, J., Litwi\u0144ski, S., Smol\u0105g, J.: Parallel realisation of QR algorithm for neural networks learning. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol.\u00a03070, pp. 158\u2013165. Springer, Heidelberg (2004)"},{"key":"9_CR4","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/978-3-319-07173-2_2","volume-title":"Artificial Intelligence and Soft Computing","author":"J. Bilski","year":"2014","unstructured":"Bilski, J., Smol\u0105g, J., Galushkin, A.I.: The parallel approach to the conjugate gradient learning algorithm for the feedforward neural networks. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part I. LNCS (LNAI), vol.\u00a08467, pp. 12\u201321. Springer, Heidelberg (2014)"},{"key":"9_CR5","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-3-540-69731-2_2","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"J. Bilski","year":"2008","unstructured":"Bilski, J., Smol\u0105g, J.: Parallel realisation of the recurrent RTRN neural network learning. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol.\u00a05097, pp. 11\u201316. Springer, Heidelberg (2008)"},{"key":"9_CR6","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/978-3-642-13232-2_3","volume-title":"Artifical Intelligence and Soft Computing","author":"J. Bilski","year":"2010","unstructured":"Bilski, J., Smol\u0105g, J.: Parallel realisation of the recurrent elman neural network learning. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS (LNAI), vol.\u00a06114, pp. 19\u201325. Springer, Heidelberg (2010)"},{"key":"9_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/978-3-642-29347-4_2","volume-title":"Artificial Intelligence and Soft Computing","author":"J. Bilski","year":"2012","unstructured":"Bilski, J., Smol\u0105g, J.: Parallel realisation of the recurrent multi layer perceptron learning. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS, vol.\u00a07267, pp. 12\u201320. Springer, Heidelberg (2012)"},{"key":"9_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/978-3-642-38658-9_3","volume-title":"Artificial Intelligence and Soft Computing","author":"J. Bilski","year":"2013","unstructured":"Bilski, J., Smol\u0105g, J.: Parallel approach to learning of the recurrent Jordan neural network. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS, vol.\u00a07894, pp. 32\u201340. Springer, Heidelberg (2013)"},{"issue":"1","key":"9_CR9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.2478\/jaiscr-2014-0021","volume":"4","author":"J.L. Chu","year":"2014","unstructured":"Chu, J.L., Krzyzak, A.: The recognition of partially occluded objects with support vector machines and convolutional neural networks and deep belief networks. Journal of Artificial Intelligence and Soft Computing Research\u00a04(1), 5\u201319 (2014)","journal-title":"Journal of Artificial Intelligence and Soft Computing Research"},{"key":"9_CR10","unstructured":"Intel Corporation: Intel Xeon Phi Coprocessor System Software Developer\u2019s Guide. Technical report, The Intel Corporation (June 2013)"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Cpa\u0142ka, K., Rutkowski, L.: Flexible Takagi-Sugeno fuzzy systems. In: Proc. IEEE International Joint Conference on Neural Networks (IJCNN), vol.\u00a03, pp. 1764\u20131769 (2005)","DOI":"10.1109\/IJCNN.2005.1556147"},{"key":"9_CR12","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.neucom.2013.12.031","volume":"135","author":"K. Cpa\u0142ka","year":"2014","unstructured":"Cpa\u0142ka, K., \u0141apa, K., Przyby\u0142, A., Zalasi\u0144ski, M.: A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing\u00a0135, 203\u2013217 (2014)","journal-title":"Neurocomputing"},{"issue":"6","key":"9_CR13","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1080\/03081079.2013.798912","volume":"42","author":"K. Cpa\u0142ka","year":"2013","unstructured":"Cpa\u0142ka, K., Rebrova, O., Nowicki, R., Rutkowski, L.: On design of flexible neuro-fuzzy systems for nonlinear modelling. International Journal of General Systems\u00a042(6), 706\u2013720 (2013)","journal-title":"International Journal of General Systems"},{"issue":"4","key":"9_CR14","first-page":"301","volume":"1","author":"S. Dourlens","year":"2011","unstructured":"Dourlens, S., Ramdane-Cherif, A.: Modeling & understanding environment using semantic agents. Journal of Artificial Intelligence and Soft Computing Research\u00a01(4), 301\u2013314 (2011)","journal-title":"Journal of Artificial Intelligence and Soft Computing Research"},{"key":"9_CR15","unstructured":"Fang, J., Varbanescu, A.L., Sips, H.: Benchmarking Intel Xeon Phi to Guide Kernel Design. Delft University of Technology Parallel and Distributed Systems Report Series, No. PDS-2013-005, pp. 1\u201322 (2013)"},{"key":"9_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1007\/978-3-642-38658-9_49","volume-title":"Artificial Intelligence and Soft Computing","author":"M. Gabryel","year":"2013","unstructured":"Gabryel, M., Korytkowski, M., Scherer, R., Rutkowski, L.: Object detection by simple fuzzy classifiers generated by boosting. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS, vol.\u00a07894, pp. 540\u2013547. Springer, Heidelberg (2013)"},{"issue":"8","key":"9_CR17","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1109\/TAC.1986.1104399","volume":"31","author":"T. Galkowski","year":"1986","unstructured":"Galkowski, T., Rutkowski, L.: Nonparametric fitting of multivariate functions. IEEE Transactions on Automatic Control\u00a031(8), 785\u2013787 (1986)","journal-title":"IEEE Transactions on Automatic Control"},{"key":"9_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1007\/978-3-642-38610-7_15","volume-title":"Artificial Intelligence and Soft Computing","author":"T. Ga\u0142kowski","year":"2013","unstructured":"Ga\u0142kowski, T.: Kernel estimation of regression functions in the boundary regions. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS, vol.\u00a07895, pp. 158\u2013166. Springer, Heidelberg (2013)"},{"key":"9_CR19","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/978-3-319-07173-2_45","volume-title":"Artificial Intelligence and Soft Computing","author":"T. Galkowski","year":"2014","unstructured":"Galkowski, T., Pawlak, M.: Nonparametric function fitting in the presence of nonstationary noise. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part I. LNCS (LNAI), vol.\u00a08467, pp. 531\u2013538. Springer, Heidelberg (2014)"},{"key":"9_CR20","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1007\/978-3-540-24844-6_42","volume-title":"Artificial Intelligence and Soft Computing - ICAISC 2004","author":"A.E. Gaweda","year":"2004","unstructured":"Gaweda, A.E., Scherer, R.: Fuzzy number-based hierarchical fuzzy system. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol.\u00a03070, pp. 302\u2013307. Springer, Heidelberg (2004)"},{"issue":"8","key":"9_CR21","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1162\/089976602760128018","volume":"14","author":"G. Hinton","year":"2002","unstructured":"Hinton, G.: Training products of experts by minimizing contrastive divergence. Neural Computation\u00a014(8), 1771\u20131800 (2002)","journal-title":"Neural Computation"},{"issue":"1","key":"9_CR22","first-page":"926","volume":"9","author":"G. Hinton","year":"2010","unstructured":"Hinton, G.: A practical guide to training restricted Boltzmann machines. Momentum\u00a09(1), 926 (2010)","journal-title":"Momentum"},{"issue":"7","key":"9_CR23","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"G. Hinton","year":"2006","unstructured":"Hinton, G., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Computation\u00a018(7), 1527\u20131554 (2006)","journal-title":"Neural Computation"},{"key":"9_CR24","unstructured":"http:\/\/miclab.pl : MICLAB Pilot laboratory of massively parallel systems. Web Page (2015)"},{"key":"9_CR25","unstructured":"http:\/\/yann.lecun.com\/exdb\/mnist\/: The mnist database of handwritten digits"},{"key":"9_CR26","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Fei-Fei, L.: Large-scale video classification with convolutional neural networks. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1725\u20131732 (June 2014)","DOI":"10.1109\/CVPR.2014.223"},{"key":"9_CR27","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/978-3-540-69731-2_26","volume-title":"Artificial Intelligence and Soft Computing \u2013 ICAISC 2008","author":"M. Korytkowski","year":"2008","unstructured":"Korytkowski, M., Rutkowski, L., Scherer, R.: From ensemble of fuzzy classifiers to single fuzzy rule base classifier. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol.\u00a05097, pp. 265\u2013272. Springer, Heidelberg (2008)"},{"key":"9_CR28","unstructured":"Krizhevsky, A.: One weird trick for parallelizing convolutional neural networks. arXiv preprint arXiv:1404.5997 (2014)"},{"key":"9_CR29","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.jssc.2014.08.034","volume":"220","author":"L. Laskowski","year":"2014","unstructured":"Laskowski, L., Laskowska, M.: Functionalization of SBA-15 mesoporous silica by cu-phosphonate units: Probing of synthesis route. Journal of Solid State Chemistry\u00a0220, 221\u2013226 (2014)","journal-title":"Journal of Solid State Chemistry"},{"key":"9_CR30","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/j.micromeso.2014.08.041","volume":"200","author":"L. Laskowski","year":"2014","unstructured":"Laskowski, L., Laskowska, M., Balanda, M., Fitta, M., Kwiatkowska, J., Dzilinski, K., Karczmarska, A.: Mesoporous silica SBA-15 functionalized by nickel-phosphonic units: Raman and magnetic analysis. Microporous and Mesoporous Materials\u00a0200, 253\u2013259 (2014)","journal-title":"Microporous and Mesoporous Materials"},{"key":"9_CR31","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/978-3-319-07173-2_9","volume-title":"Artificial Intelligence and Soft Computing","author":"\u0141. Laskowski","year":"2014","unstructured":"Laskowski, \u0141., Laskowska, M., Jelonkiewicz, J., Boullanger, A.: Spin-glass implementation of a Hopfield neural structure. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part I. LNCS (LNAI), vol.\u00a08467, pp. 89\u201396. Springer, Heidelberg (2014)"},{"issue":"6","key":"9_CR32","doi-asserted-by":"publisher","first-page":"1631","DOI":"10.1162\/neco.2008.04-07-510","volume":"20","author":"N. Le Roux","year":"2008","unstructured":"Le Roux, N., Bengio, Y.: Representational power of restricted boltzmann machines and deep belief networks. Neural Computation\u00a020(6), 1631\u20131649 (2008)","journal-title":"Neural Computation"},{"key":"9_CR33","unstructured":"Pabiasz, S., Starczewski, J.: Face reconstruction for 3D systems. In: Rutkowska, D., Cader, A., Przybyszewski, K. (eds.) Selected Topics in Computer Science Applications, pp. 54\u201363. Academic Publishing House EXIT (2011)"},{"key":"9_CR34","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1007\/978-3-642-29347-4_66","volume-title":"Artificial Intelligence and Soft Computing","author":"S. Pabiasz","year":"2012","unstructured":"Pabiasz, S., Starczewski, J.T.: Meshes vs. depth maps in face recognition systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS, vol.\u00a07267, pp. 567\u2013573. Springer, Heidelberg (2012)"},{"key":"9_CR35","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/978-3-319-07176-3_16","volume-title":"Artificial Intelligence and Soft Computing","author":"S. Pabiasz","year":"2014","unstructured":"Pabiasz, S., Starczewski, J.T., Marvuglia, A.: A new three-dimensional facial landmarks in recognition. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part II. LNCS (LNAI), vol.\u00a08468, pp. 179\u2013186. Springer, Heidelberg (2014)"},{"key":"9_CR36","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1007\/978-3-642-38610-7_27","volume-title":"Artificial Intelligence and Soft Computing","author":"S. Pabiasz","year":"2013","unstructured":"Pabiasz, S., Starczewski, J.T.: A new approach to determine three-dimensional facial landmarks. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS, vol.\u00a07895, pp. 286\u2013296. Springer, Heidelberg (2013)"},{"issue":"2","key":"9_CR37","first-page":"103","volume":"1","author":"K. Patan","year":"2011","unstructured":"Patan, K., Patan, M.: Optimal training strategies for locally recurrent neural networks. Journal of Artificial Intelligence and Soft Computing Research\u00a01(2), 103\u2013114 (2011)","journal-title":"Journal of Artificial Intelligence and Soft Computing Research"},{"key":"9_CR38","unstructured":"Reinders, J.: An Overview of Programming for Intel Xeon Processors and Intel Xeon Phi Coprocessors. Technical report, The Intel Corporation (2012)"},{"issue":"65","key":"9_CR39","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1037\/h0042519","volume":"65","author":"F. Rosenblatt","year":"1958","unstructured":"Rosenblatt, F.: The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review\u00a065(65), 386\u2013408 (1958)","journal-title":"Psychological Review"},{"key":"9_CR40","doi-asserted-by":"crossref","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. arXiv preprint arXiv:1409.0575 (2014)","DOI":"10.1007\/s11263-015-0816-y"},{"key":"9_CR41","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/978-3-642-13232-2_79","volume-title":"Artifical Intelligence and Soft Computing","author":"L. Rutkowski","year":"2010","unstructured":"Rutkowski, L., Przyby\u0142, A., Cpa\u0142ka, K., Er, M.J.: Online speed profile generation for industrial machine tool based on neuro-fuzzy approach. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS (LNAI), vol.\u00a06114, pp. 645\u2013650. Springer, Heidelberg (2010)"},{"key":"9_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1007\/978-3-642-55224-3_52","volume-title":"Parallel Processing and Applied Mathematics","author":"E. Saule","year":"2014","unstructured":"Saule, E., Kaya, K., \u00c7ataly\u00fcrek, \u00dc.V.: Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wa\u015bniewski, J. (eds.) PPAM 2013, Part I. LNCS, vol.\u00a08384, pp. 559\u2013570. Springer, Heidelberg (2014)"},{"key":"9_CR43","series-title":"Advances in Soft Computing","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/978-3-7908-1902-1_86","volume-title":"Proceedings of the Sixth International Conference on Neural Network and Soft Computing","author":"R. Scherer","year":"2003","unstructured":"Scherer, R., Rutkowski, L.: A fuzzy relational system with linguistic antecedent certainty factors. In: Rutkowski, L., Kacprzyk, J. (eds.) Proceedings of the Sixth International Conference on Neural Network and Soft Computing. Advances in Soft Computing, pp. 563\u2013569. Springer, Heidelberg (2003)"},{"key":"9_CR44","doi-asserted-by":"crossref","unstructured":"Scherer, R.: Neuro-fuzzy relational systems for nonlinear approximation and prediction. Nonlinear Analysis 71, e1420\u2013e1425 (2009)","DOI":"10.1016\/j.na.2009.01.180"},{"key":"9_CR45","unstructured":"Smolensky, P.: Information processing in dynamical systems: Foundations of harmony theory. In: Rumelhart, D.E., McLelland, J.L. (eds.) Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Foundations, vol.\u00a01, pp. 194\u2013281. MIT (1986)"},{"key":"9_CR46","unstructured":"Staff, C.I., Reinders, J.: Parallel Programming and Optimization with Intel\u00ae Xeon PhiTM Coprocessors: Handbook on the Development and Optimization of Parallel Applications for Intel\u00ae Xeon Coprocessors and Intel\u00ae Xeon PhiTM Coprocessors. Colfax International (2013)"},{"key":"9_CR47","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1007\/978-3-642-55224-3_54","volume-title":"Parallel Processing and Applied Mathematics","author":"L. Szustak","year":"2014","unstructured":"Szustak, L., Rojek, K., Gepner, P.: Using Intel Xeon Phi coprocessor to accelerate computations in MPDATA algorithm. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wa\u015bniewski, J. (eds.) PPAM 2013, Part I. LNCS, vol.\u00a08384, pp. 582\u2013592. Springer, Heidelberg (2014)"},{"key":"9_CR48","doi-asserted-by":"crossref","unstructured":"Szustak, L., Rojek, K., Olas, T., Kuczynski, L., Halbiniak, K., Gepner, P.: Adaptation of MPDATA heterogeneous stencil computation to Intel Xeon Phi coprocessor. Scientific Programming (in press, 2015)","DOI":"10.1155\/2015\/642705"},{"issue":"2","key":"9_CR49","doi-asserted-by":"publisher","first-page":"77","DOI":"10.2478\/jaiscr-2014-0006","volume":"3","author":"T. Tambouratzis","year":"2013","unstructured":"Tambouratzis, T., Chernikova, D., P\u00e1zsit, I.: Pulse shape discrimination of neutrons and gamma rays using Kohonen artificial neural networks. Journal of Artificial Intelligence and Soft Computing Research\u00a03(2), 77\u201388 (2013)","journal-title":"Journal of Artificial Intelligence and Soft Computing Research"},{"issue":"8","key":"9_CR50","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1016\/j.parco.2014.04.009","volume":"40","author":"R. Wyrzykowski","year":"2014","unstructured":"Wyrzykowski, R., Szustak, L., Rojek, K.: Parallelization of 2d MPDATA EULAG algorithm on hybrid architectures with GPU accelerators. Parallel Computing\u00a040(8), 425\u2013447 (2014)","journal-title":"Parallel Computing"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-19324-3_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T09:56:08Z","timestamp":1748426168000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-19324-3_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319193236","9783319193243"],"references-count":50,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-19324-3_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}