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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| Format: | Book |
| Language: | Undetermined |
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Hoboken, N.J.,Chichester
Wiley
2007
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| Institutions: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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| Summary: | 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 |
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