Sharma, S.K., Tokhi, M.O., 2000. Neural network optimisation using genetic algorithm: a hierarchical fuzzy method. Proceedings of AARTC00: Sixth IFAC Workshop on Algorithms and Architec- tures for Real-Time Con
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
4. Neural networks for tuning fuzzy systems: #ij is the membership function of input parameter x j in i-th rule t-norm operations. Any network learning algorithm, such a backpropagation, can be used to train this structure. Yi in the figure is a trainable output value of each consequent...
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...
The structural stability of nanoalloys is a challenging research subject due to the complexity of size, shape, composition, and chemical ordering. The genetic algorithm is a popular global optimization method that can efficiently search for the ground-st
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· ,...
algorithm are the initial population, fitness function, selection, crossover, and mutation. The initial solution consists of components like gene and chromosome; each solution given in the set of initial solution is calleda chromosome, while parts of the chromosome are known as a gene.Fig. 2.2...
Self-adaptationGlobal optimizationThe aim of this paper is presentation of encoding for self-adaptation of genetic algorithms which is suitable for neural network topology optimization. Comparing to previous approaches there is...doi:10.1007/978-3-319-19728-9_15Radomir Perzina...
Fire neural networks in Excel, your own programs and webpages GeneHunter is a powerful genetic algorithm software solution for optimization problems which utilizes a state-of-the-art genetic algorithm methodology. GeneHunter includes an Excel Add-In which allows the user to run an optimization ...
Journal of Computational Intelligence in Finance (1998) Bartlett, P. & Downs, T. (1990). Training a neural network with a genetic algorithm. Technical report, Department of... Belew, R. K., McInerney, J., Joubert, G. R. & Peters, F. J. (1991). Evolving networks: using genetic ...