Some Properties of RBF Network with Applications to System Identification

Keywords

Overfitting, Identification (biology), Computer science, Hierarchical RBF, Basis (linear algebra)

References

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• Dynamic System Identification using Recurrent Radial Basis Function NetworkXiaohan Ye, N.K. Loh — 1993
• Theory and Practice of Recursive IdentificationLennart Ljung, Torsten Söderström — 1983
• Estimation Theory and ApplicationsN. Nahi — 1969
• Structure Detection and Model Validity Tests in the Identification of Nonlinear SystemsS.A. Billings, Wong Shaw Voon — 1983
• Recursive hybrid algorithm for non-linear system identification using radial basis function networksSheng Chen, S.A. Billings, P.M. Grant — 1992
• Non-linear systems identification using radial basis functionsSheng Chen, S.A. Billings, C.F.N. Cowan — 1990
• Radial basis function approximations to polynomialsJasmine Powell — 1989
• Networks for approximation and learningTomaso Poggio, Federico Girosi — 1990
• Orthogonal least squares learning algorithm for radial basis function networksSheng Chen, C.F.N. Cowan, P.M. Grant — 1991
• Fast Learning in Networks of Locally-Tuned Processing UnitsJohn Moody, Christian J. Darken — 1989

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• Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm OptimizationMonir Foqaha — 2017
• Adaptive Identification and Application of Flow Mapping for Electrohydraulic ValvesJianbin Liu, André Sitte, Jürgen Weber — 2021
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• EMAIL SPAM CLASSIFICATION USING HYBRID APPROACH OF RBF NEURAL NETWORK AND PARTICLE SWARM OPTIMIZATIONAwad, Mohammed, Monir Foqaha — 2016
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