发布网友 发布时间:2022-04-22 08:20
共3个回答
热心网友 时间:2023-06-26 05:29
冷……
Artificial neural network is the first to study the structure of the human brain was designed. Later people found in instrial control on the tremendous potential. In the actual field of instrial control, we will certainly contain nonlinear elements. To achieve control we must study the mathematical model, the neural network can know the network input and output, The samples will be able to receive training Object Model. In this paper, a nonlinear response target BP of its network modeling, but the traditional BP algorithm slow convergence. Yi local minimum value of the shortcomings, and with the use of genetic algorithms and evolutionary system to show the advantages of complex phenomena. This is the neural networks and genetic algorithms, to achieve the identification of nonlinear systems. The first chapter of the artificial neural network the origin, development and current situation given neuron some basic calculations and activation function. Details on the second chapter of BP algorithm. Simple introction to the structure and algorithm BP BP algorithm steps, and BP algorithms exist flaws. The third chapter describes the genetic algorithm and the basic concepts of history, Genetic Algorithm for some of the concepts and application of the steps described in detail. The fourth chapter in a nonlinear mathematical model based on genetic algorithms using BP neural network modeling simulation, Simulation results are also analyzed.
热心网友 时间:2023-06-26 05:29
中文?这难道不是中文么?还要怎么翻译?拜托,老大,不要开玩笑好不,很冷滴耶~!
热心网友 时间:2023-06-26 05:29
你难道不知道什么是中文吗?????郁闷