A Statistical Approach to Neural Networks for Pattern Recognition - Info and Reading Options
By Robert A. Dunne
"A Statistical Approach to Neural Networks for Pattern Recognition" is published by Wiley-Interscience in July 16, 2007 - Hoboken, NJ, the book is classified in Computers genre, it has 268 pages and the language of the book is English.
“A Statistical Approach to Neural Networks for Pattern Recognition” Metadata:
- Title: ➤ A Statistical Approach to Neural Networks for Pattern Recognition
- Author: Robert A. Dunne
- Language: English
- Number of Pages: 268
- Is Family Friendly: Yes - No Mature Content
- Publisher: Wiley-Interscience
- Publish Date: July 16, 2007
- Publish Location: Hoboken, NJ
- Genres: Computers
“A Statistical Approach to Neural Networks for Pattern Recognition” Subjects and Themes:
- Subjects: ➤ Perceptrons - COMPUTERS - Re seaux neuronaux (Informatique) - Neural networks (Computer science) - Neural Networks - Réseaux neuronaux (Informatique) - Neural networks (computer science) - Pattern recognition systems
Edition Identifiers:
- Google Books ID: ioVQAAAAMAAJ
- The Open Library ID: OL7620891M - OL8232112W
- Online Computer Library Center (OCLC) ID: 85829258
- Library of Congress Control Number (LCCN): 2007279878
- ISBN-13: 9780471741084
- ISBN-10: 0471741086
- All ISBNs: 0471741086 - 9780471741084
AI-generated Review of “A Statistical Approach to Neural Networks for Pattern Recognition”:
Snippets and Summary:
This book aims to answer questions that arise when statisticians are first confronted with this type of model, such as: How robust is the model to outliers? Could the model be made more robust? Which points will have a high leverage?
"A Statistical Approach to Neural Networks for Pattern Recognition" Description:
Google Books:
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.
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