国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

This paper studied the RPROP hybrid BP neural network algorithm and ant colony optimization algorithm for the proposed using ant colony optimization algorithm to solve a large number of redundant data to information service point of the wireless sensor networks in RPROP hybrid algorithm, the related issues of network speed, through the establishment of system architecture and information service. to prove that the algorithm BP neural network can prolong the life cycle. accelerate the contraction rate of BP neural network, will be able to repeat information service in the network are combined effectively, and timely to filter the non normal information service point data, reduce the energy consumption of data service, the iterative training process period times improved. solve BP neural network learning, training time redundancy. and has strong ability of calculation, optimization, improve the accuracy of network classification and operation efficiency Rate is a more practical algorithm. which can fully meet the growing needs of wireless internet terminal operation.