基于改进遗传算法优化的模糊神经网络在火灾探测中的应用

Application of Fuzzy Neural Networks in Fire Detection Based on Genetic Algorithms optimized

针对火灾报警系统中存在的漏报、误报问题,提出了基于改进遗传算法优化的模糊神经网络信息处理方法对火灾信号进行识别。旨在提高系统报警准确率,降低漏报率。该算法通过仿真实验,结果表明报警的准确率有明显提高;同时,优化后的网络可靠性和泛化能力都有所提高,证明了这一方法的可行性。

This paper proposes the fire detection algorithms based on GA optimum fuzzy neural networks information processing Algorithms. The purpose is to enhance accurately the ratio of alarm and lower false alarm. Simulation and experimental results indicate that the algorithm is very effective to put up accurately ratio of alarm; simultaneous reliable and adequate of networks are all improved.