کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4633299 1340666 2009 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An improved determination approach to the structure and parameters of dynamic structure-based neural networks
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
An improved determination approach to the structure and parameters of dynamic structure-based neural networks
چکیده انگلیسی

Dynamic structure-based neural networks are being extensively applied in many fields of science and engineering. A novel dynamic structure-based neural network determination approach using orthogonal genetic algorithm with quantization is proposed in this paper. Both the parameter (the threshold of each neuron and the weight between neurons) and the transfer function (the transfer function of each layer and the network training function) of the dynamic structure-based neural network are optimized using this approach. In order to satisfy the dynamic transform of the neural network structure, the population adjustment operation was introduced into orthogonal genetic algorithm with quantization for dynamic modification of the population’s dimensionality. A mathematical example was applied to evaluate this approach. The experiment results suggested that this approach is feasible, correct and valid.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 215, Issue 7, 1 December 2009, Pages 2787–2797
نویسندگان
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