Feedforward Neural Networks for Nonparametric Regression

David Rı́os Insua; Peter Müller

doi:10.1007/978-1-4612-1732-9_9

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Feedforward Neural Networks for Nonparametric Regression

David Rı́os Insua Peter Müller

Year: 1998 Lecture notes in statistics Pages: 181-193 Publisher: Springer Nature

DOI: 10.1007/978-1-4612-1732-9_9

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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

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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

Feedforward Neural Networks for Nonparametric Regression

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