{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:50:37Z","timestamp":1742986237694,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540287551"},{"type":"electronic","value":"9783540287568"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11550907_76","type":"book-chapter","created":{"date-parts":[[2021,2,12]],"date-time":"2021-02-12T16:24:41Z","timestamp":1613147081000},"page":"485-490","source":"Crossref","is-referenced-by-count":7,"title":["Current Trends on Knowledge Extraction and Neural Networks"],"prefix":"10.1007","author":[{"given":"David A.","family":"Elizondo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario A.","family":"G\u00f3ngora","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"76_CR1","doi-asserted-by":"crossref","first-page":"981","DOI":"10.13031\/2013.28168","volume":"37","author":"D.A. Elizondo","year":"1994","unstructured":"Elizondo, D.A., McClendon, R.W., Hoogenboom, G.: Neural network models for predicting flowering and physiological maturity of soybean. Transactions of the ASAE\u00a037, 981\u2013988 (1994)","journal-title":"Transactions of the ASAE"},{"key":"76_CR2","doi-asserted-by":"crossref","unstructured":"Shellhammer, I., Diederich, J., Towsey, J., Brugman, C.: Knowledge extraction and recurrent neural networks: An analysis of an elman network trained on a natural language learning task. In: Proceedings of the Joint Conference on New Methods in Language Processing and Computational Natural Language Learning, Association for Computational Linguistics, pp. 73\u201378 (1998)","DOI":"10.3115\/1603899.1603912"},{"key":"76_CR3","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1109\/TEC.2003.821826","volume":"19","author":"S. Chiang Tan","year":"2004","unstructured":"Chiang Tan, S., Peng Lim, C.: Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant. IEEE Transactions on Energy Conversion\u00a019, 369\u2013377 (2004)","journal-title":"IEEE Transactions on Energy Conversion"},{"key":"76_CR4","doi-asserted-by":"publisher","first-page":"1571","DOI":"10.1016\/S0893-6080(98)00054-9","volume":"11","author":"M. Tajine","year":"1998","unstructured":"Tajine, M., Elizondo, D.: The recursive deterministic perceptron neural network. Neural Networks\u00a011, 1571\u20131588 (1998)","journal-title":"Neural Networks"},{"key":"76_CR5","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/S0004-3702(98)00057-5","volume":"102","author":"M. Tajine","year":"1998","unstructured":"Tajine, M., Elizondo, D.: Growing methods for constructing recursive deterministic perceptron neural networks and knowledge extraction. Artificial Intelligence\u00a0102, 295\u2013322 (1998)","journal-title":"Artificial Intelligence"},{"key":"76_CR6","first-page":"1909","volume-title":"Proceedings of the IEEE Industrial Electronics Society 29th Annual Conference (IECON 2003)","author":"A. Browne","year":"2003","unstructured":"Browne, A., Hudson, B., Whitley, D., Ford, M., Picton, P., Kazemian, H.: Knowledge extraction from neural networks. In: Proceedings of the IEEE Industrial Electronics Society 29th Annual Conference (IECON 2003), pp. 1909\u20131913. IEEE, Los Alamitos (2003)"},{"key":"76_CR7","doi-asserted-by":"crossref","unstructured":"Setiono, R., Pan, S.L., Hsieh, M.H., Azcarraga, A.P.: Separating core and noncore knowledge: An application of neural network rule extraction to a cross-national study of brand image perception. IEEE Transactions on Systems, Man and Cybernetics-Part C: Applications and Reviews, 1\u201311 (2005)","DOI":"10.1109\/TSMCC.2004.843201"},{"key":"76_CR8","unstructured":"Fu, X., Wang, L.: Rule extraction using a novel gradient-based method and data dimensionality reduction. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), vol.\u00a02, pp. 1275\u20131280 (2002)"},{"key":"76_CR9","unstructured":"Dorado, J., Rabunal, J.R., Rivero, D., Santos, A., Pazos, A.: Automatic recurrent ann rule extraction with genetic programming. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN). Volume\u00a02, 1552\u20131557 (2002)"},{"key":"76_CR10","unstructured":"Qi, W., Bo, Y., Jie, Z.: Extracted rules from software quality prediction model based on neural networks. In: International Conference on Tools with Artificial Intelligence, pp. 191\u2013195 (2004)"},{"key":"76_CR11","unstructured":"Gorban, A.N., Mirkes, E.M., Tsaregorodtsev, V.G.: Generation of explicit knowledge from empirical data through pruning of trainable neural networks. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), San Diego, IEEE Neural Networks Council; Edward Brothers (1999)"},{"key":"76_CR12","doi-asserted-by":"crossref","unstructured":"Yao, J.: Knowledge based descriptive neural networks. In: Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, vol.\u00a02639, pp. 430\u2013436 (2003)","DOI":"10.1007\/3-540-39205-X_72"},{"key":"76_CR13","first-page":"538","volume":"11","author":"X. Hong","year":"2003","unstructured":"Hong, X., Harris, C.J.: A neurofuzzy network knowledge extraction and extended gram-schmidt algorithm for model subspace decomposition. IEEE Transactions on Fuzzy Systems\u00a011, 538\u2013541 (2003)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"76_CR14","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1002\/ecjb.10138","volume":"86","author":"H. Iyatomi","year":"2003","unstructured":"Iyatomi, H.: Knowledge extraction from scenery images and recognition using fuzzy inference neural networks. Electronics and Communication in Japan, Part 2\u00a086, 82\u201390 (2003)","journal-title":"Electronics and Communication in Japan, Part 2"},{"key":"76_CR15","doi-asserted-by":"crossref","unstructured":"Fan, T.G., Wang, X.Z.: A new approach to weighted fuzzy production rule extraction from neural networks. In: Proceedings of the International Conference on Machine Learning and Cybernetics, vol. 6, pp. 3348\u20133351 (2004)","DOI":"10.1109\/ICMLC.2004.1380357"},{"key":"76_CR16","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1002\/hyp.5517","volume":"18","author":"K.P. Sudheer","year":"2004","unstructured":"Sudheer, K.P., Jain, A.: Explaining the internal behaviour of artificial neural network river flow models. Hydrological Processes\u00a018, 833\u2013844 (2004)","journal-title":"Hydrological Processes"},{"key":"76_CR17","doi-asserted-by":"crossref","unstructured":"Mitsdorffer, R., Diederich, J., Tan, C.: Rule extraction from technology ipos in the us stock market. In: Proceedings of the 9th International Conference on Neural Information Processing (ICONIP), vol.\u00a05, pp. 2328\u20132335 (2002)","DOI":"10.1109\/ICONIP.2002.1201910"},{"key":"76_CR18","doi-asserted-by":"crossref","unstructured":"Yue, L., Hui, L., Bofend, Z., Gengfend, W.: Extraction of if-then rules from trained neural networks and its application to eartchquake prediction. In: Proceedings of the 3rd IEEE International Conference on Cognitive Informatics, pp. 109\u2013115 (2004)","DOI":"10.1109\/COGINF.2004.1327465"},{"key":"76_CR19","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/S0165-1684(01)00142-6","volume":"82","author":"J.F. Remm","year":"2002","unstructured":"Remm, J.F., Aexandre, F.: Knowledge extraction using artificial neural networks: application to radar traget identification. Signal Processing\u00a082, 117\u2013120 (2002)","journal-title":"Signal Processing"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks: Formal Models and Their Applications \u2013 ICANN 2005"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11550907_76","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T03:35:42Z","timestamp":1724470542000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11550907_76"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540287551","9783540287568"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/11550907_76","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}