Research of traffic control Network Based on Genetic Neural Network in Coal Communication
This article is based on genetic neural network multi-user detection principle in combination with coal mine monitoring multi-channel communication network of information sources, from optimization to solve the optimal maximum likelihood detection start function, for solving the shortcomings of high complexity, given the combination of genetic neural Network multi-user detector unified framework, reducing the amount of computation, and can better track the optimal multiuser detector performance and application in the coal mine monitoring communication networks, to achieve multi-channel flow Qos enhancement and optimization. The simulation results verify the effectiveness of the method.ssion QoS question.
genetic neural network network optimization flow control coal Communication QoS
Xiao-qiang Shao
School of Electric and Control Engineering Xian University of Science and Technology Shaanxi Xian, China
国际会议
太原
英文
255-258
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）