Large scale traveling salesman problem via neural network divide and conquer
Mulder, S.
Page(s): 533- 536 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198112 Abstract
| Full Text: PDF (417 KB)
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Validating an unsupervised weightless perceptron
Wickert, I.; Franca, F.M.G.
Page(s): 537- 541 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198114 Abstract
| Full Text: PDF (476 KB)
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An application of a progressive neural network technique in the identification of suspension properties of tracked vehicles
Shengii Yao; Daolin Xu
Page(s): 542- 546 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198115 Abstract
| Full Text: PDF (562 KB)
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An evaluation of constructive algorithms for recurrent networks on multi-step-ahead prediction
Bone, R.; Crucianu, M.
Page(s): 547- 551 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198116 Abstract
| Full Text: PDF (551 KB)
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Training of support vector regressors based on the steepest ascent method
Thalamic circuitry model based on modified "integrate-and-fire neurons"
Tikidji-Hamburyan, R.
Page(s): 576- 580 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198123 Abstract
| Full Text: PDF (552 KB)
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Pulsed para-neural network (PPNN) synthesis in a 3-D cellular automata space
Buller, A.; Eeckhaut, H.; Joachimczak, M.
Page(s): 581- 584 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198124 Abstract
| Full Text: PDF (557 KB)
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Deterministic SR phenomena in autoassociative chaotic neural networks
Nishimura, H.; Katada, N.; Aihara, K.
Page(s): 585- 589 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198125 Abstract
| Full Text: PDF (452 KB)
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Evolving connectionist systems for adaptive learning and knowledge discovery: methods, tools, applications
Kasabov, N.
Page(s): 590- 595 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198126 Abstract
| Full Text: PDF (513 KB)
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A method for modelling genetic regulatory networks by using evolving connectionist systems and microarray gene expression data
Kasabov, N.K.; Dimitrov, D.S.
Page(s): 596- 601 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198127 Abstract
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GA-parameter optimisation of evolving connectionist systems for classification and a case study from bioinformatics
Kasabov, N.; Qun Song
Page(s): 602- 605 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198128 Abstract
| Full Text: PDF (425 KB)
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Identification of dental bacteria using statistical and neural approaches
Chaw Koh Yong; Choo Min Lim; Plumbley, M.; Beighton, D.; Davidson, R.
Page(s): 606- 610 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198129 Abstract
| Full Text: PDF (650 KB)
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Genetic approach to biosequence alignment (GABA)
Rajapakse, J.C.; Faleel, I.
Page(s): 611- 615 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198130 Abstract
| Full Text: PDF (506 KB)
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Prediction of protein secondary structure using Bayesian method and support vector machines
Nguyen, M.N.; Rajapakse, J.C.
Page(s): 616- 620 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198131 Abstract
| Full Text: PDF (484 KB)
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Mongolian character recognition using multilayer perceptron (MLP)
Batsamhan, O.; Singh, Y.P.
Page(s): 621- 625 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198132 Abstract
| Full Text: PDF (464 KB)
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Detection and recognition of road signs using simple layered neural networks
Ohara, H.; Nishikawa, I.; Miki, S.; Yabuki, N.
Page(s): 626- 630 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198133 Abstract
| Full Text: PDF (567 KB)
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A system for identifying writer from Thai handwriting image
U-Seng, J.; Tanprasert, T.
Page(s): 631- 635 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198134 Abstract
| Full Text: PDF (474 KB)
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Signature verification using ART-2 neural network
Mautner, P.; Rohlik, O.; Matousek, V.; Kempf, J.
Page(s): 636- 639 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198135 Abstract
| Full Text: PDF (495 KB)
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Radar target feature extraction by wavelet transform and KCN
Wang Xiao-dan; Wang Ji-qin
Page(s): 640- 644 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198136 Abstract
| Full Text: PDF (435 KB)
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Drift ice recognition using remote sensing data by neural networks
Nagao, T.; Mitsukura, Y.; Fukumi, M.; Akamatsu, N.
Page(s): 645- 649 vol.2
Digital Object Identifier 10.1109/ICONIP.2002.1198137 Abstract
| Full Text: PDF (520 KB)
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