利用遗传算法学习多层神经网络的优缺点

M.L. Kovalchuk, P.I. Ushtan, Y. Ushenko, I. Soltys
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引用次数: 0

摘要

研究了遗传算法学习多层神经网络的优缺点。调查是在开发的软件的基础上进行的,该软件可以通过分析人体器官组织的照片来检测疾病的迹象。使用Java编程语言来实现该项目。该软件产品由以下模块组成:多层神经网络、遗传算法和从文件系统读取和处理图像的机制。遗传算法用于计算突触权值的初始值,由误差传播算法指定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advantages and Disadvantages of Learning a Multilayer Neural Network Using a Genetic Algorithm
The advantages and disadvantages of learning a multilayer neural network using genetic algorithm are studied. Investigation was conducted on the basis of the developed software, which allows to detect indications of diseases by analyzing photographs of human organs` tissues. The Java programming language was used to implement the project. The software product consists of modules that implement: multilayer neural network, genetic algorithm and mechanism for reading and processing images from the file system. The genetic algorithm is used to calculate the initial values of synaptic weights, which are specified by the error propagation algorithm.
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