A novel prediction system for wireless LAN based on the genetic algorithm and neural network

Wen-Ching Chang, Chih-Hui Ko, Yang-Han Lee, Shiann-Tsong Sheu, Yu-Jie Zheng
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引用次数: 3

Abstract

The integrated technology of a novel prediction system with a high prediction accuracy for indoor wireless LAN is proposed. Different from conventional methods, the genetic algorithm and neural network are employed to compute the environmental parameters and enhance the prediction accuracy, respectively.
一种基于遗传算法和神经网络的无线局域网预测系统
提出了一种新型室内无线局域网预测系统的集成技术,具有较高的预测精度。与传统方法不同,采用遗传算法和神经网络分别计算环境参数,提高预测精度。
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