{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T16:54:11Z","timestamp":1669136051552},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2005,10,20]],"date-time":"2005-10-20T00:00:00Z","timestamp":1129766400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2006,3]]},"DOI":"10.1007\/s00521-005-0005-y","type":"journal-article","created":{"date-parts":[[2005,10,19]],"date-time":"2005-10-19T12:29:16Z","timestamp":1129724956000},"page":"33-40","source":"Crossref","is-referenced-by-count":12,"title":["Evolutionary training of hardware realizable multilayer perceptrons"],"prefix":"10.1007","volume":"15","author":[{"given":"V. P.","family":"Plagianakos","sequence":"first","affiliation":[]},{"given":"G. D.","family":"Magoulas","sequence":"additional","affiliation":[]},{"given":"M. N.","family":"Vrahatis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,10,20]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/evco.1993.1.1.1","volume":"1","author":"T B\u00e4ck","year":"1993","unstructured":"B\u00e4ck T, Schwefel HP (1993) An overview of evolutionary algorithms for parameter optimization. Evol Comput 1:1\u201323","journal-title":"Evol Comput"},{"key":"5_CR2","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1109\/72.125861","volume":"3","author":"PL Bartlett","year":"1992","unstructured":"Bartlett PL, Downs T (1992) Using random weights to train multilayer networks of hard\u2013limiting units. IEEE Trans Neural Netw 3:202\u2013210","journal-title":"IEEE Trans Neural Netw"},{"key":"5_CR3","unstructured":"Blake CL, Merz CJ (2005) UCI Repository of machine learning databases. University of California, Irvine, Department of Information and Computer Sciences, URL: http:\/\/www.ics.uci.edu\/\u223cmlearn\/MLRepository.html , last accessed 4\/2005"},{"key":"5_CR4","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1109\/5.58343","volume":"78","author":"GJ Gibson","year":"1990","unstructured":"Gibson GJ, Cowan FN (1990) On the decision regions of multi-layer perceptrons. Proc IEEE 78:1590\u20131594","journal-title":"Proc IEEE"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Goodman R, Zeng Z (1994) A learning algorithm for multi-layer perceptrons with hard-limiting threshold units. In: Proceedings of the IEEE Neural Networks for Signal Processing, pp 219\u2013228","DOI":"10.1109\/NNSP.1994.366045"},{"key":"5_CR6","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/72.286926","volume":"5","author":"EM Gorwin","year":"1994","unstructured":"Gorwin EM, Logar AM, Oldham WJB (1994) An iterative method for training multilayer networks with threshold functions. IEEE Trans Neural Netw 5:507\u2013508","journal-title":"IEEE Trans Neural Netw"},{"key":"5_CR7","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/21.47810","volume":"20","author":"SE Hampson","year":"1990","unstructured":"Hampson SE, Volper DJ (1990) Representing and learning boolean functions of multivalued features. IEEE Trans Syst Man Cybern 20:67\u201380","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"5_CR8","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1016\/S0893-6080(99)00069-6","volume":"12","author":"ME Hohil","year":"1999","unstructured":"Hohil ME, Liu D, Smith SH (1999) Solving the N-bit parity problem using neural networks. Neural Networks 12:1321\u20131323","journal-title":"Neural Networks"},{"key":"5_CR9","unstructured":"Khan AH (1996) Feedforward neural networks with constrained weights. PhD Thesis, University of Warwick, Department of Engineering"},{"key":"5_CR10","volume-title":"Computational intelligence in control engineering","author":"RE King","year":"1999","unstructured":"King RE (1999) Computational Intelligence in Control Engineering. Marcel Dekker Inc., New York"},{"key":"5_CR11","volume-title":"Simulation modeling and analysis","author":"AM Law","year":"2000","unstructured":"Law AM, Kelton WD (2000) Simulation modeling and analysis, 3rd edn. McGraw-Hill, New York","edition":"3rd edn"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Magoulas GD, Vrahatis MN, Grapsa TN, Androulakis GS (1997) A training method for discrete multilayer neural networks. In: Ellacot SW, Mason JC, Anderson IJ (eds) Mathematics of neural networks: models, algorithms & applications, chapter 41. Kluwer, Operations Research\/Computer Science Interfaces series","DOI":"10.1007\/978-1-4615-6099-9_42"},{"key":"5_CR13","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/BF02478259","volume":"5","author":"W McCullough","year":"1943","unstructured":"McCullough W, Pitts WH (1943) A logical calculus of the ideas imminent in nervous activity. Bull Math Biophys 5:115\u2013133","journal-title":"Bull Math Biophys"},{"key":"5_CR14","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1016\/S0893-6080(05)80056-5","volume":"6","author":"MF M\u00f8ller","year":"1993","unstructured":"M\u00f8ller MF (1993) A scaled conjugate gradient algorithm, for fast supervised learning. Neural Networks 6:525\u2013533","journal-title":"Neural Networks"},{"key":"5_CR15","volume-title":"Learning Machines","author":"NJ Nilsson","year":"1965","unstructured":"Nilsson NJ (1965) Learning Machines. McGraw-Hill, New York"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Plagianakos VP, Magoulas GD, Nousis NK, Vrahatis MN (2001) Training multilayer networks with discrete activation functions. In: Proceedings of the INNS\u2013IEEE international joint conference on neural networks (IJCNN2001), Washington DC, USA, pp 2805\u20132810","DOI":"10.1109\/IJCNN.2001.938819"},{"key":"5_CR17","unstructured":"Plagianakos VP, Sotiropoulos DG, Vrahatis MN (1998) Integer weight training by differential evolution algorithms. In: Mastorakis NE (ed) recent advances in circuits and systems. World Scientific pp 327\u2013331"},{"key":"5_CR18","unstructured":"Plagianakos VP, Vrahatis MN (1999) Training neural networks with 3-bit integer weights. In: Banzhaf W, Daida J, Eiben AE, Garzon MH, Honavar V, Jakiela M, Smith RE (eds) Proceedings of genetic and evolutionary computation conference (GECCO\u201999). Morgan Kaufmann, Orlando, pp 910\u2013915"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Plagianakos VP, Vrahatis MN (1999) Neural network training with constrained integer weights. In: Angeline PJ, Michalewicz Z, Schoenauer M, Yao X, Zalzala A (eds) Proceedings of congress on evolutionary computation (CEC\u201999). IEEE Press, Washington DC, pp 2007\u20132013","DOI":"10.1109\/CEC.1999.785521"},{"key":"5_CR20","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1023\/A:1016545907026","volume":"1","author":"VP Plagianakos","year":"2002","unstructured":"Plagianakos VP, Vrahatis MN (2002) Parallel evolutionary training algorithms for \u2018hardware-friendly\u2019 neural networks. Natural Computing 1:307\u2013322","journal-title":"Natural Computing"},{"key":"5_CR21","unstructured":"Rumelhart DE, McClelland JL (eds) Parallel distributed processing: explorations in the microstructure of cognition. MIT Press, New york1:318\u2013362"},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"Srinivas M, Patnaik L (1994) Genetic algorithms: a survey. IEEE Computer, pp 17\u201326","DOI":"10.1109\/2.294849"},{"key":"5_CR23","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, Price K (1997) Differential Evolution\u2014A simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11:341\u2013359","journal-title":"J Global Optim"},{"key":"5_CR24","unstructured":"Thrun SB, Bala J, Bloedorn E, Bratko I, Cestnik B, Cheng J, De Jong K, Dzeroski S, Fahlman SE, Fisher D, Hamann R, Kaufmann K, Keller S, Kononenko I, Kreuziger J, Michalski RS, Mitchell T, Pachowicz P, Reich Y, Vafaie H, Van de Welde W, Wenzel W, Wnek J, Zhang J (1991) The MONK\u2019s problems: a performance comparison of different learning algorithms. Technical Report, Carnegie Mellon University, CMU-CS-91-197"},{"key":"5_CR25","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1049\/el:19901121","volume":"26","author":"DJ Toms","year":"1990","unstructured":"Toms DJ (1990) Training binary node feed forward neural networks by back-propagation of error. Electron Lett 26:1745\u20131746","journal-title":"Electron Lett"},{"key":"5_CR26","first-page":"305","volume":"110","author":"M Tomizuka","year":"1988","unstructured":"Tomizuka M, Zhang S (1988) Modeling and conventional\/adaptive PI control of a lathe cutting process. Trans ASME 110:305\u2013354","journal-title":"Trans ASME"},{"key":"5_CR27","first-page":"1","volume":"2","author":"G Tsitouras","year":"1997","unstructured":"Tsitouras G, King R (1997) Rule-based neural control of mechatronic systems. Int J Intelligent Mechatronics 2:1\u201311","journal-title":"Int J Intelligent Mechatronics"},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"Widrow B, Winter R (1988) Neural nets for adaptive filtering and adaptive pattern recognition. IEEE Computer, March, 25\u201339","DOI":"10.1109\/2.29"},{"key":"5_CR29","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1162\/neco.1993.5.6.976","volume":"5","author":"Z Zeng","year":"1993","unstructured":"Zeng Z, Goodman R, Smyth P (1993) Learning finite state machines with self-clustering recurrent networks. Neural Comput 5:976\u2013990","journal-title":"Neural Comput"},{"key":"5_CR30","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1109\/72.279194","volume":"5","author":"Z Zeng","year":"1994","unstructured":"Zeng Z, Goodman R, Smyth P (1994) Discrete recurrent neural networks for grammatical inference. IEEE Trans Neural Netwoks 5:320\u2013330","journal-title":"IEEE Trans Neural Netwoks"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-005-0005-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-005-0005-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-005-0005-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,10]],"date-time":"2020-04-10T10:44:21Z","timestamp":1586515461000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-005-0005-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,10,20]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2006,3]]}},"alternative-id":["5"],"URL":"https:\/\/doi.org\/10.1007\/s00521-005-0005-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,10,20]]}}}