{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:21:52Z","timestamp":1725664912277},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540594970"},{"type":"electronic","value":"9783540492887"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1995]]},"DOI":"10.1007\/3-540-59497-3_221","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T17:26:38Z","timestamp":1330277198000},"page":"543-550","source":"Crossref","is-referenced-by-count":4,"title":["Bidirectional Neural Networks reduce generalisation error"],"prefix":"10.1007","author":[{"given":"A. F.","family":"Nejad","sequence":"first","affiliation":[]},{"given":"T. D.","family":"Gedeon","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,6,1]]},"reference":[{"issue":"No.2","key":"73_CR1","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/0893-6080(94)90026-4","volume":"7","author":"B. Amirikian","year":"1994","unstructured":"Amirikian, B., and Nishimura, H. 1994. What Size Network Is Good for Generalisation of a Specific Task of Interest? Neural Networks, Vol. 7, No. 2, 321\u2013329.","journal-title":"Neural Networks"},{"key":"73_CR2","first-page":"799","volume":"13","author":"J.A. Anderson","year":"1988","unstructured":"Anderson, J.A. 1988. Cognitive and Psychological Computation with Neural Models. IEEE Transactions on Systems, Man, and Cybernetics 13, 799\u2013815.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"73_CR3","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1162\/neco.1989.1.1.151","volume":"1","author":"E.B. Baum","year":"1989","unstructured":"Baum, E.B., and Haussler, D. 1989. What Size Net Gives Valid Generalisation? Neural Computation 1, 151\u2013160.","journal-title":"Neural Computation"},{"issue":"4","key":"73_CR4","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1145\/76359.76371","volume":"36","author":"A. Blumer","year":"1989","unstructured":"Blumer, A., Ehrenfeucht, A., Haussler D., and Warmuth M. 1989. Leamability and the Vapnik-Chervonenkis dimension. Journal of the ACM, 36(4), pp. 929\u2013965.","journal-title":"Journal of the ACM"},{"key":"73_CR5","doi-asserted-by":"crossref","unstructured":"Bustos, RA and Gedeon, TD Decrypting Neural Network Data: A GIS Case Study, Proceedings International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA), Al\u00e8s, 1995.","DOI":"10.1007\/978-3-7091-7535-4_61"},{"key":"73_CR6","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1162\/neco.1992.4.2.249","volume":"4","author":"D. Cohn","year":"1992","unstructured":"Cohn, D. and Tesauro, G. 1992. How Tight are the Vapnik-Chervonenkis Bounds? Neural Computation 4, 249\u2013269.","journal-title":"Neural Computation"},{"key":"73_CR7","volume-title":"A General Lower Bound on the Number of Examples Needed for Learning","author":"A. Ehrenfeucht","year":"1988","unstructured":"Ehrenfeucht, A., Haussler, D., Kearns, M., and Valiant, L. 1988. A General Lower Bound on the Number of Examples Needed for Learning. In Proceedings of the 1988 Workshop on Computational Learning Theory. San Mateo, CA, Morgan Kaufmann."},{"key":"73_CR8","unstructured":"Gedeon, T.D. and Bowden, T.G. 1992. Heuristic pattern reduction. International Joint Conference on Neural Networks, Beijing, pp. 449\u2013453."},{"key":"73_CR9","unstructured":"Gedeon, TD and Good, RP Interactive modelling of a neural network model of GDP, Proceedings International Conference on Modelling and Simulation, pp. 355\u2013360, Perth, 1993."},{"key":"73_CR10","first-page":"119","volume":"1","author":"T.D. Gedeon","year":"1991","unstructured":"Gedeon, T.D. and Harris, D. Network Reduction Techniques, Proceedings International Conference on Neural Networks Methodologies and Applications, AMSE, vol. 1, pp. 119\u2013126, San Diego, 1991.","journal-title":"AMSE"},{"key":"73_CR11","doi-asserted-by":"crossref","unstructured":"Gedeon, T.D. and Turner, H. 1993. Explaining student grades predicted by a neural network. Proceedings International Joint Conference on Neural Networks, pp. 609\u2013612, Nagoya.","DOI":"10.1109\/IJCNN.1993.713989"},{"key":"73_CR12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/neco.1992.4.1.1","volume":"4","author":"S. Geman","year":"1992","unstructured":"Geman, S., Bienenstock, E., and Doursat R. 1992. Neural Networks and the Bias\/Variance Dilemma. Neural Computation 4, 1\u201358.","journal-title":"Neural Computation"},{"key":"73_CR13","volume-title":"Technical Report UCSC-CRL-90-54","author":"D. Haussler","year":"1990","unstructured":"Haussler, D., Littlestone, N., and Warmuth, M. 1990. Predicting 0,1-Functions on Randomly Drawn Points. Technical Report UCSC-CRL-90-54, University if California at Santa Cruz."},{"issue":"no.3","key":"73_CR14","doi-asserted-by":"crossref","first-page":"4979","DOI":"10.1364\/AO.26.004979","volume":"26","author":"R. Hecht-Nielsen","year":"1987","unstructured":"Hecht-Nielsen, R. 1987. Counterpropagation Networks. Applied Optics, vol. 26, no. 3, 4979\u20134984.","journal-title":"Applied Optics"},{"key":"73_CR15","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1109\/21.87054","volume":"SMC-18","author":"B. Kosko","year":"1988","unstructured":"Kosko, B. 1988. Bidirectional Associative Memories. IEEE Transactions on Systems, Man, ami Cybernetics, vol. SMC-18, 49\u201360.","journal-title":"IEEE Transactions on Systems, Man, ami Cybernetics"},{"key":"73_CR16","unstructured":"Kosko, B. 1992. Neural Networks and Fuzzy Systems."},{"key":"73_CR17","volume-title":"Processing of the 1988 Connectionist Summer School. Carnegie-Mellon University","author":"J.K. Kruschke","year":"1988","unstructured":"Kruschke, J.K. 1988. Creating Local and Distributed Bottlenecks in Hidden Layers of Back-Propagation Networks. Processing of the 1988 Connectionist Summer School. Carnegie-Mellon University, Pittsburgh, PA: Morgan Kaufmann."},{"key":"73_CR18","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1162\/neco.1994.6.5.877","volume":"6","author":"W. Maass","year":"1994","unstructured":"Maass, W. 1994. Neural Nets with Superlinear VC-Dimension. Neural Computation 6, 877\u2013884.","journal-title":"Neural Computation"},{"key":"73_CR19","unstructured":"Nejad, A.F., Gedeon T.D. 1994. BiDirectional MLP Neural Networks. International Symposium on Artificial Neural Networks. Tainan, Taiwan, pp. 308\u2013313."},{"key":"73_CR20","unstructured":"Nejad, A.F., Gedeon T.D. 1995. Analyser Neural Networks. International Workshop on Applications of Artificial Neural Networks to Telecommunications. Stockholm, Sweden."},{"key":"73_CR21","doi-asserted-by":"crossref","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J. 1986. Learning internal representations by error propagation. in Rumelhart, D.E., McClelland, Parallel Distributed Processing, Vol. 1, MIT Press.","DOI":"10.21236\/ADA164453"},{"key":"73_CR22","doi-asserted-by":"crossref","unstructured":"Slade, P. and Gedeon, T.D. 1993. Bimodal Distribution Removal, Proceedings IWANN International Conference on Neural Networks, Barcelona. also in Mira, J., Cabestany, J. and Prieto, A. 1993. New Trends in Neural Computation, pp. 249\u2013254, Springer Verlag, Lecture Notes in Computer Science, vol. 686.","DOI":"10.1007\/3-540-56798-4_155"},{"key":"73_CR23","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1145\/1968.1972","volume":"27","author":"L.G. Valiant","year":"1984","unstructured":"Valiant, L.G. 1984. A Theory of the Learnable. Communications of the ACM, 27, 1134\u20131142","journal-title":"Communications of the ACM"},{"key":"73_CR24","volume-title":"Estimation of Dependencies Based on Empirical Data","author":"V.N. Vapnik","year":"1982","unstructured":"Vapnik, V.N. 1982. Estimation of Dependencies Based on Empirical Data. Spring-Verlag, New York."},{"key":"73_CR25","volume-title":"Advances in Neural Information Processing Systems 3","author":"A. Weigend","year":"1991","unstructured":"Weigend, A., Rumelhart, D., and Huberman, B. 1991. Generalisation by Weight Elimination with Application to Forecasting. In Advances in Neural Information Processing Systems 3, R. Lippmann, J. Moody, and D. Touretzky, eds. Morgan Kaufmann, Denver, Co."}],"container-title":["Lecture Notes in Computer Science","From Natural to Artificial Neural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-59497-3_221.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T21:27:48Z","timestamp":1605648468000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-59497-3_221"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995]]},"ISBN":["9783540594970","9783540492887"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/3-540-59497-3_221","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1995]]}}}