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Segue abaixo alguns artigos que considero importantes. Em geral eles não são de leitura fácil.
- Jonas Sjöberg and Q Zhang and Lennart Ljung and A Benveniste and B Deylon and P-Y Glorennec and Håkan Hjalmarsson and A Juditsky, Nonlinear Black-box Modeling in System Identification: a Unified Overview, 1995, Dec., Vol.31 , Automatica.
- A Juditsky and Håkan Hjalmarsson and A Benveniste and B Deylon and Lennart Ljung and Jonas Sjöberg and Q Zhang, Nonlinear Black-Box Models in System Identification: Mathematical Foundations, 1995, Dec., Vol. 31, Automatica.
- A Theory of Networks for Approximation and Learning, Tomaso Poggio and Federico Girosi, AIM-1140, MIT
- A Connection Between GRBF and MLP, Minoru Maruyama, Federico Girosi and Tomaso Poggio
- Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines, Federico Girosi, Michael Jones and Tomaso Poggio
- Extensions of a Theory of Networks for Approximation and Learning: Dimensionality Reduction and Clustering, Tomaso Poggio and Federico Girosi
- Neural Networks, Michael Jordan and Christopher Bishop, AIM1562, MIT
- Why the logistic function? A tutorial discussion on probabilities and neural networks. M. I. Jordan. MIT Computational Cognitive Science Report 9503, August 1995
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Newton Maruyama
2006-04-07