{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:36:38Z","timestamp":1774629398215,"version":"3.50.1"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319925363","type":"print"},{"value":"9783319925370","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-92537-0_12","type":"book-chapter","created":{"date-parts":[[2018,5,25]],"date-time":"2018-05-25T07:25:50Z","timestamp":1527233150000},"page":"99-106","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications"],"prefix":"10.1007","author":[{"given":"Jue","family":"Wang","sequence":"first","affiliation":[]},{"given":"Ping","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Xin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,26]]},"reference":[{"key":"12_CR1","unstructured":"Lecun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D.: Handwritten digit recognition with a back-propagation network. In: Advances in Neural Information Processing Systems, vol. 2, pp. 396\u2013404. Morgan Kaufman, San Francisco (1990)"},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1109\/72.97936","volume":"2","author":"S Haykin","year":"1991","unstructured":"Haykin, S., Deng, C.: Classification of radar clutter using neural networks. IEEE Trans. Neural Netw. 2, 589\u2013600 (1991)","journal-title":"IEEE Trans. Neural Netw."},{"key":"12_CR3","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition. Clarendon Press, Oxford (1995)"},{"key":"12_CR4","first-page":"321","volume":"2","author":"DS Broomhead","year":"1988","unstructured":"Broomhead, D.S., Lowe, D.: Multivariable functional interpolation and adaptive networks. Complex Syst. 2, 321\u2013355 (1988)","journal-title":"Complex Syst."},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"899","DOI":"10.1109\/72.165592","volume":"3","author":"LFA Wessels","year":"1992","unstructured":"Wessels, L.F.A., Barnard, E.: Avoiding false local minima by proper initialization of connections. IEEE Trans. Neural Netw. 3, 899\u2013905 (1992)","journal-title":"IEEE Trans. Neural Netw."},{"key":"12_CR6","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)"},{"key":"12_CR7","unstructured":"Guo, P., Chen, C.P., Sun, Y.: A exact supervised learning for a three-layer supervised neural network. In: Proceedings of 1995 International Conference on Neural Information Processing, pp. 1041\u20131044. Publishing House of Electronics Industry, Beijing (1995)"},{"key":"12_CR8","unstructured":"Guo, P., Lyu, M.R.: Pseudoinverse learning algorithm for feedforward neural networks. In: Advances in Neural Networks and Applications, pp. 321\u2013326 (2001)"},{"key":"12_CR9","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/S0925-2312(03)00385-0","volume":"56","author":"P Guo","year":"2004","unstructured":"Guo, P., Lyu, M.R.: A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data. Neurocomputing 56, 101\u2013121 (2004)","journal-title":"Neurocomputing"},{"key":"12_CR10","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/2.144401","volume":"25","author":"YH Pao","year":"1992","unstructured":"Pao, Y.H., Takefuji, Y.: Functional-link net computing: theory, system architecture, and functionalities. IEEE Comput. 25, 76\u201379 (1992)","journal-title":"IEEE Comput."},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/0925-2312(94)90053-1","volume":"6","author":"YH Pao","year":"1994","unstructured":"Pao, Y.H., Park, G.H., Sobajic, D.J.: Learning and generalization characteristics of the random vector functional-link net. Neurocomputing 6, 163\u2013180 (1994)","journal-title":"Neurocomputing"},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.ins.2016.05.021","volume":"364\u2013365","author":"D Wang","year":"2016","unstructured":"Wang, D.: Editorial: randomized algorithms for training neural networks. Inf. Sci. 364\u2013365, 126\u2013128 (2016)","journal-title":"Inf. Sci."},{"key":"12_CR13","doi-asserted-by":"publisher","first-page":"3466","DOI":"10.1109\/TCYB.2017.2734043","volume":"47","author":"D Wang","year":"2017","unstructured":"Wang, D., Li, M.: Stochastic configuration networks: fundamentals and algorithms. IEEE Trans. Cybern. 47, 3466\u20133479 (2017)","journal-title":"IEEE Trans. Cybern."},{"issue":"2","key":"12_CR14","first-page":"e1200","volume":"7","author":"Simone Scardapane","year":"2017","unstructured":"Scardapane, S., Wang, D.: Randomness in neural networks: an overview. WIREs Data Mining Knowl. Discov. 7 (2017)","journal-title":"Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Wang, K., Guo, P., Yin, Q., Luo, A.L., Xin, X.: A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. In: 2016 International Joint Conference on Neural Networks, pp. 3453\u20133460. IEEE Press, New York (2016)","DOI":"10.1109\/IJCNN.2016.7727642"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Wang, K., Guo, P., Xin, X., Ye, Z.: Autoencoder, low rank approximation and pseudoinverse learning algorithm. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics, pp. 948\u2013953. IEEE Press, New York (2017)","DOI":"10.1109\/SMC.2017.8122732"},{"key":"12_CR17","first-page":"1","volume":"3","author":"G Aggarwal","year":"2013","unstructured":"Aggarwal, G., Gupta, D.V.: Neural network approach to measure reliability of software modules: a review. Int. J. Adv. Eng. Sci. 3, 1\u20137 (2013)","journal-title":"Int. J. Adv. Eng. Sci."},{"key":"12_CR18","unstructured":"Zhang, X., Guo, P.: A study on software reliability prediction based on ensemble neural network (in Chinese). J. Beijing Normal Univ. (Nat. Sci.) 41, 599\u2013603 (2005)"},{"key":"12_CR19","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/2687.001.0001","volume-title":"Elements of Artificial Neural Networks","author":"K Mehrotra","year":"1996","unstructured":"Mehrotra, K., Mohan, C.K., Ranka, S.: Elements of Artificial Neural Networks. MIT Press, Cambridge (1996)"},{"key":"12_CR20","first-page":"176","volume":"27","author":"G Wang","year":"2010","unstructured":"Wang, G., Li, W., Xu, Y.: Research of software reliability assessment based on neural net combination model (in Chinese). Comput. Simul. 27, 176\u2013180 (2010)","journal-title":"Comput. Simul."},{"key":"12_CR21","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1109\/24.799900","volume":"48","author":"R Sitte","year":"1999","unstructured":"Sitte, R.: Comparison of software-reliability-growth predictions: neural networks vs parametric-recalibration. IEEE Trans. Reliab. 48, 285\u2013291 (1999)","journal-title":"IEEE Trans. Reliab."},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Wang, K., Guo, P., Luo, A.-L., Xin, X., Duan, F.: Deep neural networks with local connectivity and its application to astronomical spectral data. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2687\u20132692. IEEE Press, New York (2016)","DOI":"10.1109\/SMC.2016.7844646"},{"key":"12_CR23","doi-asserted-by":"publisher","first-page":"4311","DOI":"10.1093\/mnras\/stw2894","volume":"465","author":"K Wang","year":"2016","unstructured":"Wang, K., Guo, P., Luo, A.-L.: A new automated spectral feature extraction method and its application in spectral classification and defective spectra recovery. Mon. Not. Roy. Astron. Soc. 465, 4311\u20134324 (2016)","journal-title":"Mon. Not. Roy. Astron. Soc."},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Yan, M., Yin, Q., Guo, P.: Image stitching with single-hidden layer feedforward neural networks. In: 2016 International Joint Conference on Neural Networks, pp. 4162\u20134169. IEEE Press, New York (2016)","DOI":"10.1109\/IJCNN.2016.7727742"},{"key":"12_CR25","doi-asserted-by":"crossref","unstructured":"Li, Y., Guo, P., Xin, X.: A divide and conquer method for automatic image annotation. In: 2016 International Conference on Computational Intelligence and Security, pp. 660\u2013664. IEEE Press, New York (2016)","DOI":"10.1109\/CIS.2016.0159"},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Mohammadi, M., Krishna, A., Nalesh, S., Nandy, S.: A hardware architecture for radial basis function neural network classifier. IEEE Trans. Parallel Distrib. Syst. (2017)","DOI":"10.1109\/TPDS.2017.2768366"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Li, Y., Guo, P.: Training neural networks by marginalizing out hidden layer noise. Neural Comput. Appl. (2017)","DOI":"10.1007\/s00521-017-2864-4"},{"key":"12_CR28","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1002\/cem.1401","volume":"25","author":"S Curteanu","year":"2011","unstructured":"Curteanu, S., Cartwright, H.: Neural networks applied in chemistry. I. Determination of the optimal topology of multilayer perceptron neural networks. J. Chemometr. 25, 527\u2013549 (2011)","journal-title":"J. Chemometr."}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2018"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92537-0_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T00:12:09Z","timestamp":1720311129000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-92537-0_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319925363","9783319925370"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92537-0_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}