乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T17:37:26Z","timestamp":1696959446560},"reference-count":20,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:00:00Z","timestamp":1441065600000},"content-version":"tdm","delay-in-days":6028,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Circ. Theor. Appl."],"published-print":{"date-parts":[[1999,3]]},"DOI":"10.1002\/(sici)1097-007x(199903\/04)27:2<209::aid-cta54>3.0.co;2-7","type":"journal-article","created":{"date-parts":[[2005,12,5]],"date-time":"2005-12-05T04:21:44Z","timestamp":1133756504000},"page":"209-228","source":"Crossref","is-referenced-by-count":2,"title":["Learning in dynamic neural networks using signal flow graphs"],"prefix":"10.1002","volume":"27","author":[{"given":"Stanislaw","family":"Osowski","sequence":"first","affiliation":[]},{"given":"Andrzej","family":"Cichocki","sequence":"additional","affiliation":[]}],"member":"311","reference":[{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB1","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1162\/neco.1989.1.2.270","volume":"1","author":"Williams","year":"1989","journal-title":"Neural Comput."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB2","author":"Fahlman","year":"1991","unstructured":"\u2018The recurrent cascade-correlation architecture\u2019, Technical Report CMU-CS-91100, Carnegie Mellon University, Pittsburg, PA15213, School of Computer Science, 1991."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB3","volume-title":"Neural Networks for Optimization and Signal Processing","author":"Cichocki","year":"1993","unstructured":"and , Neural Networks for Optimization and Signal Processing, Wiley, New York, 1993."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB4","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/BF00200336","volume":"70","author":"Osowski","year":"1994","journal-title":"Biol. Cybernet."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB5","first-page":"199","volume-title":"Neural Computers","author":"Almeida","year":"1987","unstructured":"\u2018Backpropagation in perceptron with feedback\u2019, in , (eds), Neural Computers, 1987, pp. 199-208."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB6","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1162\/neco.1996.8.1.182","volume":"8","author":"Wan","year":"1996","journal-title":"Neural Comput."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB7","volume-title":"Neural Networks, a Comprehensive Foundation","author":"Haykin","year":"1994","unstructured":"Neural Networks, a Comprehensive Foundation, Macmillan College Publishing Company, New York, 1994."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB8","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1002\/cta.4490210206","volume":"21","author":"Hasler","year":"1993","journal-title":"Int. J. Circ. Theor. Appl."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB9","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/TCS.1974.1083832","volume":"21","author":"Lee","year":"1974","journal-title":"IEEE Trans. CAS"},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB10","volume-title":"Electronic Circuits, Signals and Systems","author":"Mason","year":"1960","unstructured":"and , Electronic Circuits, Signals and Systems, Wiley, New York, 1960."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB11","volume-title":"Computer Aided Analysis of Electronic Circuits","author":"Chua","year":"1975","unstructured":"and , Computer Aided Analysis of Electronic Circuits, Prentice-Hall, New York, 1975."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB12","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1109\/72.248452","volume":"4","author":"Reed","year":"1993","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB13","first-page":"598","volume-title":"Advances in NIPS2","author":"LeCun","year":"1990","unstructured":", , \u2018Optimal brain damage\u2019, in (ed.), Advances in NIPS2, Morgan Kaufmann, San Mateo, 1990, pp. 598-605."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB14","volume-title":"Practical Optimization","author":"Gill","year":"1981","unstructured":"and , Practical Optimization, Academic Press, New York, 1981."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB15","volume-title":"Time Series Prediction: Forecasting the Future and Understanding the Past","author":"Wan","year":"1992","unstructured":"\u2018Time series prediction using a connectionist network with internal delay lines\u2019, in and (eds.), Time Series Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley, Reading, MA, 1992."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB16","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/72.80202","volume":"1","author":"Narendra","year":"1990","journal-title":"IEEE. Trans. Neural Networks"},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB17","author":"Cao","year":"1996","unstructured":"and , \u2018A simplified architecture for nonlinear recurrent neural filter\u2019, Proc. ICONIP'96, 1996, pp. 345-348."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB18","author":"Osowski","year":"1992","unstructured":"\u2018Signal flow graph approach to learning rule of neural networks\u2019, Workshop on Massively Parallel Computing, Cost 229, Leysin, 1992, pp. 13-24."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB19","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1162\/neco.1991.3.3.375","volume":"3","author":"Back","year":"1991","journal-title":"Neural Comput."},{"key":"10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7-BIB20","author":"Back","year":"1992","unstructured":"and , \u2018Nonlinear system identification using multilayer perceptrons with locally recurrent synaptic structure\u2019, Proc. 1992 IEEE Workshop Neural Networks for Signal Processing 2, 1992, pp. 1-10."}],"container-title":["International Journal of Circuit Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2F(SICI)1097-007X(199903%2F04)27:2%3C209::AID-CTA54%3E3.0.CO;2-7","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/(SICI)1097-007X(199903\/04)27:2%3C209::AID-CTA54%3E3.0.CO;2-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T09:31:38Z","timestamp":1625131898000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/(SICI)1097-007X(199903\/04)27:2<209::AID-CTA54>3.0.CO;2-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,3]]},"references-count":20,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1999,3]]}},"URL":"https:\/\/doi.org\/10.1002\/(sici)1097-007x(199903\/04)27:2<209::aid-cta54>3.0.co;2-7","relation":{},"ISSN":["0098-9886","1097-007X"],"issn-type":[{"value":"0098-9886","type":"print"},{"value":"1097-007X","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,3]]}}}