{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T08:01:04Z","timestamp":1725868864514},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319484891"},{"type":"electronic","value":"9783319484907"}],"license":[{"start":{"date-parts":[[2016,10,21]],"date-time":"2016-10-21T00:00:00Z","timestamp":1477008000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-48490-7_3","type":"book-chapter","created":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T17:43:07Z","timestamp":1476985387000},"page":"20-28","source":"Crossref","is-referenced-by-count":1,"title":["Curve Fitting Based on Neural Dynamics Optimization"],"prefix":"10.1007","author":[{"given":"Baoping","family":"Xiong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Gan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fumin","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuemin","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,10,21]]},"reference":[{"key":"3_CR1","volume-title":"Numerical Methods Using MATLAB","author":"JH Mathews","year":"1998","unstructured":"Mathews, J.H., Fink, K.D.: Numerical Methods Using MATLAB. Prentice Hall, USA (1998)"},{"issue":"2","key":"3_CR2","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/s00245-008-9038-9","volume":"58","author":"YH Xiao","year":"2008","unstructured":"Xiao, Y.H., Hu, Q.J.: Subspace Barzilai-Borwein gradient method for large-scale bound constrained optimization. Appl. Math. Optim. 58(2), 275\u2013290 (2008)","journal-title":"Appl. Math. Optim."},{"issue":"3","key":"3_CR3","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1080\/02331930500100270","volume":"54","author":"M Andretta","year":"2005","unstructured":"Andretta, M., Birgin, E.G., Martinez, J.M.: Practical active-set euclidian trust-region method with spectral projected gradients for bound-constrained minimization. Optimization 54(3), 305\u2013325 (2005)","journal-title":"Optimization"},{"key":"3_CR4","doi-asserted-by":"crossref","first-page":"1196","DOI":"10.1137\/S1052623497330963","volume":"10","author":"EG Birgin","year":"2000","unstructured":"Birgin, E.G., Martinez, J.M., Raydan, M.: Nonmonotone spectral projection gradient methods on convex sets. SIAM J. Optim. 10, 1196\u20131211 (2000)","journal-title":"SIAM J. Optim."},{"key":"3_CR5","series-title":"Computing Supplementa","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/978-3-7091-6217-0_5","volume-title":"Topics in Numerical Analysis","author":"EG Birgin","year":"2001","unstructured":"Birgin, E.G., Martinez, J.M.: A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients. In: Alefeld, G., Chen, X. (eds.) Topics in Numerical Analysis. Computing Supplementa, vol. 15, pp. 49\u201360. Springer, Vienna (2001)"},{"key":"3_CR6","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/BF00339943","volume":"52","author":"JJ Hopfield","year":"1985","unstructured":"Hopfield, J.J., Tank, D.W.: Neural computation of decisions in optimization problems. Biol. Cybern. 52, 141\u2013152 (1985)","journal-title":"Biol. Cybern."},{"issue":"6","key":"3_CR7","doi-asserted-by":"crossref","first-page":"1544","DOI":"10.1109\/72.548188","volume":"7","author":"Y Xia","year":"1996","unstructured":"Xia, Y.: A new neural network for solving linear and quadratic programming problems. IEEE Trans. Neural Netw. 7(6), 1544\u20131548 (1996)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"1","key":"3_CR8","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.amc.2007.02.149","volume":"192","author":"A Malek","year":"2007","unstructured":"Malek, A., Alipour, M.: Numerical solution for linear and quadratic programming problems using a recurrent neural network. Appl. Math. Comput. 192(1), 27\u201339 (2007)","journal-title":"Appl. Math. Comput."},{"key":"3_CR9","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1007\/s10470-010-9524-2","volume":"66","author":"SA Rahman","year":"2011","unstructured":"Rahman, S.A., Ansari, M.S.: A neural circuit with transcendental energy function for solving system of linear equations. Analog Integr. Circ. Sig. Process. 66, 433\u2013440 (2011)","journal-title":"Analog Integr. Circ. Sig. Process."},{"key":"3_CR10","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1109\/TRA.2004.824946","volume":"20","author":"Y Xia","year":"2004","unstructured":"Xia, Y., Wang, J., Fork, L.M.: Grasping force optimization for multifingered robotic hands using a recurrent neural network. IEEE Trans. Robot. Autom. 20, 549\u2013554 (2004)","journal-title":"IEEE Trans. Robot. Autom."},{"key":"3_CR11","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1162\/NECO_a_00549","volume":"26","author":"Y Xia","year":"2014","unstructured":"Xia, Y., Chen, T., Shan, J.: A novel iteration method for computing generalized inverse. Neural Comput. 26, 449\u2013465 (2014)","journal-title":"Neural Comput."},{"issue":"4","key":"3_CR12","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1109\/TNN.2011.2104979","volume":"22","author":"Q Liu","year":"2011","unstructured":"Liu, Q., Wang, J.: Finite-time convergent recurrent neural network with a hard-limiting activation function for constrained optimization with piecewise-linear objective functions. IEEE Trans. Neural Netw. 22(4), 601\u2013613 (2011)","journal-title":"IEEE Trans. Neural Netw."}],"container-title":["Advances in Intelligent Systems and Computing","Genetic and Evolutionary Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48490-7_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,10]],"date-time":"2022-07-10T21:25:07Z","timestamp":1657488307000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48490-7_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,21]]},"ISBN":["9783319484891","9783319484907"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48490-7_3","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2016,10,21]]}}}