The Genetic AIgorithm (GA) is a general optimization/search method that has been succusfdly applied to many problems -including neural network design. Unlike some other methods, it works well on large dimensional, nonlinear, and noisy problems. This paper reviews the basic algorithm and discusses...
神经网络(Neural Network,NN); 模糊逻辑(Fuzzy Logic,FL); 遗传算法(Genetic Algorithm,GA); 蚁群优化算法(Ant Colony Optimization,ACO); 粒子群优化算法(Particle Swarm Op); 免疫算法(Immune Algorithm,IA); 分布估计算法(Estimation of Distribution Algorithm,EDA); Memetic算法(Memetic Algorithm,MA); 模拟退火...
Neural network (NN) has been tentatively combined into multi-objective genetic algorithms (MOGAs) to solve the optimization problems in physics. However, the computationally complex physical evaluations and limited computing resources always cause the un
Optimal selection of factors using Genetic Algorithms and Neural Networks for the prediction of students' academic performance In this research, we propose to use a Genetic Algorithm with an Artificial Neural Network as fitness function in order to solve one of the most important p... OA Echegaray...
This paper describes application of Genetic algorithm (GA) for design of network configuration and for learning of neural network. Design of network configuration is the first area for GA exercise in relation to neural network. The number of neurons in network and placement to the layers has big...
Neural Network Software for Predicting, Forecasting & Classification. Genetic Algorithm Software for Optimization Problems
A model is created via neural network to take as a function substitute for the software under test, and then on the basis of the created function model, for given outputs we employ an improved genetic algorithm to find the corresponding inputs, so that the automation of test cases generation...
Neural network model of pipe network for state estimation based on modified genetic algorithm Simple genetic algorithm (GA) has the shortcomings of low convergence rate and premature convergence, while BP neural network is prone to the local optimum... C Lei,T Zhang,L Mou,... - World Congress...
Neural networks,there are many local smalle st points,the result of algorithms can rum into local smallest points.In order to a find a solution,the article combines the genetic algorithms and neural network s,replacing the BP algorithm with the genetic algorithm to study network's autho rity ...
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· ,...