SCOPUS 정보 검색 플랫폼

Neurocomputing

Volumn 51, Issue , 2003, Pages 467-473

Training neural networks with a multi-objective sliding mode control algorithm

(5) Costa, Marcelo A a Braga, Antônio P a Menezes, Benjamin R a Teixeira, Roselito A a Parma, Gustavo G a

a FEDERAL UNIVERSITY OF MINAS GERAIS (Brazil)

Author keywords

Generalization; Multi objective optimization; Neural networks

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; SLIDING MODE CONTROL; VECTORS;

OBJECTIVE FUNCTIONS;

MULTILAYER NEURAL NETWORKS;

ALGORITHM; ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; LEARNING; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; PRIORITY JOURNAL; PROBLEM SOLVING; WEIGHT;

EID: 0037379787 PISSN: 09252312 EISSN: None Source Type: Journal
DOI: 10.1016/S0925-2312(02)00697-5 Document Type: Article

Times cited : (28)

References (8)

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2
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4
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- Sliding mode algorithm for training multilayer artificial neural networks
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5
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- Neural networks learning with sliding mode control: The sliding mode backpropagation algorithm
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- (1999) Internat. J. Neural Systems , vol.9 , Issue.3 , pp. 187-193
- Parma, G.G.¹ de Menezes, B.R.² Braga, A.P.³

6
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- Learning internal representation by error propagation
- MIT Press, Cambridge, MA
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7
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- Improving generalization of MLPs with multi-objective optimization
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8
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- Sliding Modes and Their Application in Variable Structure Systems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.