{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T16:47:53Z","timestamp":1742921273496,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540232056"},{"type":"electronic","value":"9783540301349"}],"license":[{"start":{"date-parts":[[2004,1,1]],"date-time":"2004-01-01T00:00:00Z","timestamp":1072915200000},"content-version":"tdm","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":[[2004]]},"DOI":"10.1007\/978-3-540-30134-9_66","type":"book-chapter","created":{"date-parts":[[2010,3,2]],"date-time":"2010-03-02T18:44:54Z","timestamp":1267555494000},"page":"491-497","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On Retrieval of Lost Functions for Feedforward Neural Networks Using Re-Learning"],"prefix":"10.1007","author":[{"given":"Naotake","family":"Kamiura","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teijiro","family":"Isokawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuharu","family":"Yamato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nobuyuki","family":"Matsui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2004,10,14]]},"reference":[{"issue":"1","key":"66_CR1","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1109\/16.370025","volume":"42","author":"H. Kosaka","year":"1995","unstructured":"Kosaka, H., Shibata, T., Ishii, H., Ohmi, T.: An Excellent Weight-Updating-Linearity EEPROM Synapse Memory Cell for Self-learning Neuron-MOS Neural Networks. IEEE Trans. on Electron Devices\u00a042(1), 135\u2013143 (1995)","journal-title":"IEEE Trans. on Electron Devices"},{"key":"66_CR2","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1109\/4.307","volume":"23","author":"A.F. Murray","year":"1998","unstructured":"Murray, A.F., Smith, A.V.W.: Asynchronous VLSI Neural Networks Using Pulse Stream Arithmetic. IEEE J. Solid-State Circuits\u00a023, 688\u2013697 (1998)","journal-title":"IEEE J. Solid-State Circuits"},{"issue":"5","key":"66_CR3","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1109\/72.248456","volume":"4","author":"M.D. Emmerson","year":"1993","unstructured":"Emmerson, M.D., Damper, R.I.: Determining and Improving the Fault Tolerance of Multilayer Perceptions in a Pattern-Recognition Application. IEEE Trans. on Neural Networks\u00a04(5), 788\u2013793 (1993)","journal-title":"IEEE Trans. on Neural Networks"},{"issue":"5","key":"66_CR4","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1109\/72.317730","volume":"5","author":"A.F. Murray","year":"1994","unstructured":"Murray, A.F., Edwards, P.J.: Enhanced MLP Performance and Fault Tolerance Resulting from Synaptic Weight Noise during Training. IEEE Trans. on Neural Networks\u00a05(5), 792\u2013802 (1994)","journal-title":"IEEE Trans. on Neural Networks"},{"key":"66_CR5","doi-asserted-by":"crossref","unstructured":"Ito, T., Takanami, I.: On Fault Injection Approaches for Fault Tolerance of Feedforward Neural Networks. In: Proc. of the 6th Asian Test Symposium, pp. 88\u201393 (1997)","DOI":"10.1109\/ATS.1997.643927"},{"issue":"1","key":"66_CR6","first-page":"21","volume":"E80-D","author":"N.C. Hammadi","year":"1997","unstructured":"Hammadi, N.C., Ito, H.: A Learning Algorithm for Fault Tolerant Feedforward Neural Networks. IEICE Trans. Inf. & Syst.\u00a0E80-D(1), 21\u201326 (1997)","journal-title":"IEICE Trans. Inf. & Syst."},{"issue":"7","key":"66_CR7","first-page":"899","volume":"E84-D","author":"N. Kamiura","year":"2001","unstructured":"Kamiura, N., Taniguchi, Y., Hata, Y., Matsui, N.: A Learning Algorithm with Activation Function Manipulation for Fault Tolerant Neural Networks. IEICE Trans. Inf. & Syst.\u00a0E84-D(7), 899\u2013905 (2001)","journal-title":"IEICE Trans. Inf. & Syst."},{"key":"66_CR8","doi-asserted-by":"crossref","unstructured":"Kamiura, N., Taniguchi, Y., Isokawa, T., Matsui, N.: An Improvement in Weight-Fault Tolerance of Feedforward Neural Networks. In: Proc. of The 10th Asian Test Symposium, pp. 359\u2013364 (2001)","DOI":"10.1109\/ATS.2001.990309"},{"issue":"12","key":"66_CR9","first-page":"1379","volume":"J82-D-I","author":"Y. Tohma","year":"1999","unstructured":"Tohma, Y., Abe, M.: Improvement of MTTF of Feedfoward Neural Networks by Applying Re-Learning. IEICE Trans. D-I\u00a0J82-D-I(12), 1379\u20131386 (1999) (in Japanese)","journal-title":"IEICE Trans. D-I"}],"container-title":["Lecture Notes in Computer Science","Knowledge-Based Intelligent Information and Engineering Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-30134-9_66","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T23:11:28Z","timestamp":1739920288000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-30134-9_66"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540232056","9783540301349"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-30134-9_66","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]},"assertion":[{"value":"14 October 2004","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}