Forecasting, pattern recognition, and optimization problems are a part of your business. Tap the power of neural network and genetic algorithm artificial intelligence software techniques to transform your problems into solutions. Easily apply artificial intelligence, neural networks and genetic algorithms you...
This paper presents Neural Network and Genetic Algorithm approaches to fuzzy system design, which aims to shorten development time and increase system performance. An approach that uses neural network to represent multi-dimensional nonlinear membership functions and an approach to tune membership function ...
Neural Network and Genetic Algorithm in Materials Science and Engineering atBengal, TajBhadeshia H.K.D.H.: Neural Networks and Genetic Algorithms in Materials Science and Engineering, 2006 January 11-13, 2006, Tata McGraw-Hill Publishing Company Ltd., India Bengal Engineering and Science University...
An AI for PingPong using Neural network and Genetic Algorithm. The graphics of this program is hacked fromhttps://www.mathworks.com/matlabcentral/fileexchange/45619-pingpong-game?focused=3809624&tab=function You can watch the AI train from scratch (run.m) or you can just run the pretrained mo...
基于遗传算法的神经网络参数优化研究 research on optimize neural network parameters based on genetic algorithm 下载积分: 1800 内容提示: 第42卷第1I期2012年6月.数学的实践+i 认识I、IATIIEM ATICS l N PRACTI CE AN DTH EO RYV01.42,N o.11J un..2012基于遗传算法的神经网络参数优化研究焦纲领· ,...
Using genetic algorithm optimization to refine an existing network should be especially useful if the problem context (e.g., statistical properties of the noise, signal model, etc) changes and one needs to rebuild a network. In all of our experiments, we find the GA discovers significantly ...
Proposes a neural network (NN) and genetic algorithm (GA)-based hybrid approach for expanded job-shop scheduling problem. Use of GA for sequence optimization; Functionality of NN for optimization of operation start times with a fixed sequence; Ability of neurons to represent processing restrictions ...
Finally,the model is analyzed and verified by the filed measurement data. The results show that the neural network forecasting model based on genetic algorithm is better than the single neural network forecasting model in prediction accuracy,which can be used to track forecasting. 展开 ...
byGeneticAlgorithm-NeuralNetworkmethod MALi (1) ,ZHULieyuan (1) andSHIYaolin (2) (1)CenterforAnalysisandPrediction,ChinaSeismologicalBureau,POBox166,Beijing 100036,China(e-mail:mali@ip.cap.ac;mali@mcs.vuw.ac.nz;zhu@mcs.vuw.ac.nz,phone: ...
递归脉冲神经网络可应用于诸多复杂问题的求解中,如语言建模、手写数字识别以及语音识别等。递归脉冲神经网络可分为两大类:全局递归脉冲神经网络(fully recurrent spiking neural network);另一类是局部脉冲神经网络(locally recurrent spiking neural network)。