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Volumn 6, Issue , 1996, Pages 737-745

Evolving recurrent bilinear perceptrons for time series prediction

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; RANDOM PROCESSES; RECURRENT NEURAL NETWORKS;

EID: 0030308743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (2)

References (17)
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    • Bengio Y., Simard P., and Frasconi P., (1994). Learning long-term dependencies with gradient descent is difficult, IEEE Trans. Neural Networks, vol. 5, no. 2, pp. 157-166, Mar.
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    • An overview of evolutionary algorithms for parameter optimization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.