{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T09:22:54Z","timestamp":1742980974347,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642373862"},{"type":"electronic","value":"9783642373879"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-37387-9_1","type":"book-chapter","created":{"date-parts":[[2013,5,22]],"date-time":"2013-05-22T09:58:15Z","timestamp":1369216695000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Neural Network Development and Training for the Simulation of Dynamic Robot Movement Behavior"],"prefix":"10.1007","author":[{"given":"Benjamin","family":"Johnen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carsten","family":"Scheele","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernd","family":"Kuhlenk\u00f6tter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,5,23]]},"reference":[{"key":"1_CR1","volume-title":"Introduction to robotics: mechanics and control","author":"JJ Craig","year":"2005","unstructured":"J.J. Craig, Introduction to robotics: mechanics and control, 3rd edn. (Addison-Wesley, Reading and Massachusetts, 2005)","edition":"3"},{"key":"1_CR2","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1590\/S0100-73861999000300002","volume":"21","author":"JMST Motta","year":"1999","unstructured":"J.M.S.T. Motta, R.S. Mcmaster, Modeling, optimizing and simulating robot calibration with accuracy improvement. J. Brazilian Soc. Mech. Sci. 21, 384\u2013401 (1999)","journal-title":"J. Brazilian Soc. Mech. Sci."},{"key":"1_CR3","volume-title":"Numerical Analysis, volume 630 of Lecture Notes in Mathematics","author":"J Mor\u00e9","year":"1978","unstructured":"J. Mor\u00e9, in  The Levenberg-Marquardt Algorithm: Implementation and Theory,  Numerical Analysis, volume 630 of Lecture Notes in Mathematics, ed. by G. Watson (Springer, Berlin\/Heidelberg, 1978)"},{"key":"1_CR4","unstructured":"Levmar: Levenberg-Marquardt nonlinear least squares algorithms in C\/C++. http:\/\/www.ics.forth.gr\/lourakis\/levmar\/index.html. Accessed 02 Mar 2012"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"M. Dehghani, M. Ahmadi, A. Khayatian, M. Eghtesad, M. Farid, Neural network solution for forward kinematics problem of HEXA parallel robot. Am. Control Conf., 4214\u20134219 (2008)","DOI":"10.5772\/5374"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"A. Ghobakhloo, M. Eghtesad, Neural network solution for the forward kinematics problem of a redundant hydraulic shoulder. Ind. Electron. Soc. (IECON) 31st Annu. Conf. IEEE, 6 (2005)","DOI":"10.1109\/IECON.2005.1569211"},{"issue":"1","key":"1_CR7","first-page":"40","volume":"2","author":"H Sadjadian","year":"2005","unstructured":"H. Sadjadian, H.D. Taghirad, A. Fateh, Neural networks approaches for computing the forward kinematics of a redundant parallel manipulator. Int. J. Comput. Intell. 2(1), 40\u201347 (2005)","journal-title":"Int. J. Comput. Intell."},{"key":"1_CR8","first-page":"393","volume":"3","author":"L Nguyen","year":"1990","unstructured":"L. Nguyen, R.V. Patel, K. Khorasani, Neural network architectures for the forward kinematics problem in robotics. JCNN Int. Jt. Conf. Neural Networks 3, 393\u2013399 (1990)","journal-title":"JCNN Int. Jt. Conf. Neural Networks"},{"key":"1_CR9","first-page":"41","volume":"2","author":"AT Hasan","year":"2007","unstructured":"A.T. Hasan, A.M.S. Hamouda, N. Ismail, H.M.A.A. Al-Assadi, An artificial neural network strategy for the forward kinematics of robot control. Int. J. Intell. Syst. Technol. Appl. 2, 41\u201349 (2007)","journal-title":"Int. J. Intell. Syst. Technol. Appl."},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Y.I. Al-Mashhadany Inverse kinematics problem (IKP) of 6-DOF manipulator by locally recurrent neural networks (LRNNs). Int. Conf. Manage. Service Sci. (MASS), 1\u20135 (2010)","DOI":"10.1109\/ICMSS.2010.5577613"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"S. Manigpan, S. Kiattisin, A. Leelasantitham, A simulation of 6R industrial articulated robot arm using backpropagation neural network. Int Conf. Control Autom. Syst. (ICCAS), 823\u2013826 (2010)","DOI":"10.1109\/ICCAS.2010.5670125"},{"key":"1_CR12","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1007\/BF02915991","volume":"20","author":"Y Sahin","year":"2006","unstructured":"Y. Sahin, I. Eski, A QP artificial neural network inverse kinematic solution for accurate robot path control. J. Mech. Sci. Technol. 20, 917\u2013928 (2006)","journal-title":"J. Mech. Sci. Technol."},{"key":"1_CR13","unstructured":"T. Bhattacharjee, A. Bhattacharjee, A study of neural network based inverse kinematics solution for a planar three joint robot with obstacle avoidance. Assam Univ. J. Sci. Technol. 5(2), (2010)"},{"key":"1_CR14","unstructured":"Stuttgart Neural Network Simulator (SNNS). http:\/\/www.ra.cs.uni-tuebingen.de\/SNNS\/. Accessed 02 Mar 2012"},{"key":"1_CR15","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1109\/ICNN.1993.298623","volume":"1","author":"M Riedmiller","year":"1993","unstructured":"M. Riedmiller, H. Braun, A direct adaptive method for faster backpropagation learning: the RPROP algorithm. IEEE Int. Conf. Neural Networks 1, 586\u2013591 (1993)","journal-title":"IEEE Int. Conf. Neural Networks"}],"container-title":["Studies in Computational Intelligence","Recent Advances in Robotics and Automation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-37387-9_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T02:03:16Z","timestamp":1675216996000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-37387-9_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642373862","9783642373879"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-37387-9_1","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2013]]},"assertion":[{"value":"23 May 2013","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}