کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
411171 | 679184 | 2007 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Recognition of blue-green algae in lakes using distributive genetic algorithm-based neural networks
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
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چکیده انگلیسی
This paper proposes a distributive genetic algorithm for the learning of neural networks (DGANN). To tackle several well-known problems for conventional genetic algorithms (GAs), a synergetic multi-operator multi-population mechanism is developed, incorporating an αα transformation crossover operator and mixed-crossover operators. The proposed algorithm is applied to both benchmark numerical examples and pattern recognition of blue-green algae in lakes. Experimental results confirm that the proposed algorithm is superior to conventional GAs in terms of the convergence speed and solution precision, and is also capable of generating neural networks with significantly improved generalization performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 4–6, January 2007, Pages 641–647
Journal: Neurocomputing - Volume 70, Issues 4–6, January 2007, Pages 641–647
نویسندگان
Zhihong Yao, Minrui Fei, Kang Li, Hainan Kong, Bo Zhao,