A statistical approach to neural networks for pattern recognition

Throughout the book, the MLP model is extended in several directions to show that a statistical modeling approach can make valuable contributions, and further exploration for fitting MLP models is made possible via the R and S-PLUS® codes that are available on the book's related Web site. A Sta...

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書誌詳細
第一著者: Dunne, Robert A.
フォーマット: 図書
言語:Undetermined
出版事項: Hoboken, N.J.,Chichester Wiley 2007
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
その他の書誌記述
要約:Throughout the book, the MLP model is extended in several directions to show that a statistical modeling approach can make valuable contributions, and further exploration for fitting MLP models is made possible via the R and S-PLUS® codes that are available on the book's related Web site. A Statistical Approach to Neural Networks for Pattern Recognition successfully connects logistic regression and linear discriminant analysis, thus making it a critical reference and self-study guide for students and professionals alike in the fields of mathematics, statistics, computer science, and electrical engineering