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Boekhandel Douwes Den Haag

Wiley Series in Computational Statistics

A Statistical Approach to Neural Networks for Pattern Recognition

Dunne, Robert A. (CSIRO, Australia)

A Statistical Approach to Neural Networks for Pattern Recognition

Wiley Series in Computational Statistics

A Statistical Approach to Neural Networks for Pattern Recognition

Wiley Series in Computational Statistics: A Statistical Approach to Neural Networks for Pattern Recognition

 

This book presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models, in a language that is familiar to practicing statisticians.

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Beschrijving Wiley Series in Computational Statistics: A Statistical Approach to Neural Networks for Pattern Recognition

This book presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models, in a language that is familiar to practicing statisticians. Questions arise when statisticians are first confronted with such a model, and this book's aim is to provide thorough answers.

ISBN
9780471741084
Pagina's
288
Verschenen
Serie
Wiley Series in Computational Statistics
NUR
918
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
John Wiley & Sons Inc

Advanced Computational Methods in Mechanical and Materials Engineering

This book provides in-depth knowledge to solve engineering, geometrical, mathematical, and scientific problems with the help of advanced computational methods with focus on mechanical and materials engineering.

Bayes Rules!

This book brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience.

Handbook of Bayesian Variable Selection

The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions.

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