Pattern recognition using neural networks theory and algorithms for engineers and scientists
Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach...
সংরক্ষণ করুন:
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| অন্যান্য লেখক: | |
| ভাষা: | Undetermined English |
| প্রকাশিত: |
New York
Oxford University Press
1997
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| বিষয়গুলি: | |
| ট্যাগগুলো: |
ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
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| সংক্ষিপ্ত: | Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimum distance, graphical and structural methods, and Bayesian discrimination |
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| দৈহিক বর্ননা: | 458 p. ill. 25 cm |
| আইসবিএন: | 0195079205 9780195079203 |