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A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification.

, and . NIPS, page 883-890. MIT Press, (1994)

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Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results., and . Neural Networks, 11 (1): 15-37 (1998)Application of multi-layer perceptron in estimating speech/noise characteristics for speech recognition in noisy environment., and . Speech Commun., 17 (1-2): 59-76 (1995)Gradient Based Learning Methods.. Summer School on Neural Networks, volume 1387 of Lecture Notes in Computer Science, page 27-62. Springer, (1997)Rule inference for financial prediction using recurrent neural networks., , and . CIFEr, page 253-259. IEEE, (1997)Correctness, efficiency, extendability and maintainability in neural network simulation., , and . ICNN, page 474-479. IEEE, (1996)Classification of EEG signals using the wavelet transform., , , and . Signal Process., 59 (1): 61-72 (1997)A benchmark for testing adaptive systems on structured data., and . ESANN, page 63-68. (1999)Cost-sensitive cascade graph neural networks., , and . ESANN, (2013)A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification., and . NIPS, page 883-890. MIT Press, (1994)Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results., , , and . IJCNN, page 1-8. IEEE, (2023)