BOOK-CHAPTER

Feedforward Neural Networks for Nonparametric Regression

David Rı́os InsuaPeter Müller

Year: 1998 Lecture notes in statistics Pages: 181-193   Publisher: Springer Nature
Keywords:
Computer science Feedforward neural network Jump Posterior probability Hidden Markov model Feed forward Artificial neural network Parametric statistics Hidden variable theory Artificial intelligence Algorithm Mathematics Statistics Engineering Bayesian probability

Metrics

51
Cited By
5.59
FWCI (Field Weighted Citation Impact)
28
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Model Reduction and Neural Networks
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Gaussian Processes and Bayesian Inference
Physical Sciences →  Computer Science →  Artificial Intelligence

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