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Experimental Investigation with Analyzing the Training Method Complexity of Neuro-Fuzzy Networks Based on Parallel Random Search

机译:基于并行随机搜索的神经模糊网络训练方法复杂度分析实验研究

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摘要

The problem of training neuro-fuzzy networks is discussed. The computational complexity of the method for training neuro-fuzzy networks on the basis of parallel random search is analyzed. Theoretical estimations of the speedup and efficiency of the method are found. Software implementing of the method in C++ with using the MPI library and providing the construction of neuro-fuzzy networks in terms of the given observation sets is developed. Experiments for practical tasks are carried out.
机译:讨论了训练神经模糊网络的问题。分析了基于并行随机搜索的神经模糊网络训练方法的计算复杂度。理论上估计了该方法的提速和效率。开发了使用MPI库在C ++中实现该方法的软件,并根据给定的观察集提供了神经模糊网络的构造。进行实际任务的实验。

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