Neural Network Design, 2/E
Martin T Hagan (Author), Howard B Demuth, Mark H Beale, Orlando De Jesús
Informasi Umum
Kode
23.21.1031
Klasifikasi
006.32 - Neural networks, perceptrons, connectionism, neural computers
Jenis
Buku - Elektronik (E-Book)
Subjek
Neural Networks
No. Rak
Dilihat
238 kali
Informasi Lainnya
Abstraksi
This book, by the authors of the Neural Network Toolbox for MATLAB, provides a clear and detailed coverage of fundamental neural network architectures and learning rules. In it, the authors emphasize a coherent presentation of the principal neural networks, methods for training them and their applications to practical problems.FeaturesExtensive coverage of training methods for both feedforward networks (including multilayer and radial basis networks) and recurrent networks. In addition to conjugate gradient and Levenberg-Marquardt variations of the backpropagation algorithm, the text also covers Bayesian regularization and early stopping, which ensure the generalization ability of trained networks.Associative and competitive networks, including feature maps and learning vector quantization, are explained with simple building blocks.A chapter of practical training tips for function approximation, pattern recognition, clustering and prediction, along with five chapters presenting detailed real-world case studies.Detailed examples and numerous solved problems.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Martin T Hagan (Author), Howard B Demuth, Mark H Beale, Orlando De Jesús |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Hagan |
| Kota | New York |
| Tahun | 2014 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
