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Multi-Start Method with Cutting for Solving Problems of Unconditional Optimization
Optical Memory and Neural Networks Pub Date : 2020-04-02 , DOI: 10.3103/s1060992x20010099
V. A. Kostenko

Abstract

In the present paper, we present a multi-start method with dynamic cutting of “unpromising” starts of locally optimal algorithms for solving continuous unconditional optimization problems. We also describe our results of testing of the proposed method for solving problems of feed-forward neural network training.


中文翻译:

解决无条件优化问题的带切割多启动方法

摘要

在本文中,我们提出了一种多启动方法,该方法通过动态切割局部最优算法的“无希望”开始来解决连续的无条件优化问题。我们还描述了我们提出的解决前馈神经网络训练问题的方法的测试结果。
更新日期:2020-04-02
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