[PDF] Top 20 Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA)

... He is a senior member of China Computer Federation (CCF), and China Association for Artificial Intelligence (CAAI). He is a member of professional committee of distributed intelligence and knowledge engineering, ... See full document

... clustering algorithm based on genetic algorithms (GAs) are used to segment the online shopping ...market. Genetic Algorithms are believed to be effective on NP-complete global ... See full document

... decades, genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), Artificial Fish School Algorithm, Bacteria Foraging Optimization ... See full document

... used in this study, as it is very fast and can be employed quite easily. The number of hidden layers and nodes was determined via a trial and error procedure. GA toolbox in MATLAB (version 7) was used for ... See full document

... optimizing algorithm has been proposed using Genetic Algorithm (GA)and Particle Swarm Optimization (PSO) for Artificial Neural Network (ANN) to improve the estimation of ... See full document

... of artificial intelligence technology, swarm intelligence (SI) has obtained a surge of ...intelligence algorithms have been proposed and developed for real-world ...these algorithms belong to a kind ... See full document

... time, artificial neural network (ANN) and genetic algorithm (GA) have been employed to modeling and optimization of in syringe magnet stirring assisted dispersive liquid-liquid ... See full document

... in artificial intelligence (AI) have demonstrated that they are indeed capable to do things which in the past were restricted to ...humans. Artificial neural networks (ANN) and genetic ... See full document

... method. Neural networks remain a powerful tool for building ...a GA/ANN wrapper method comes at a high computational cost, the discovery of high scoring feature combinations that would have been ... See full document

... complex optimization problems with metaheuristic algorithms during the past ...these algorithms are inspired by various phenomena of ...rescheduling based congestion management approach but ... See full document

... metaheuristic algorithms have been developed as successful techniques for solving a variety of complex and difficult optimization ...these algorithms may turn out to have weak points such as lower ... See full document

... the Artificial Neural Network ...are based on predefined rules, ANNs work on vague functional relationships through a process of learning from experience and ...problem. Genetic ... See full document

... ABC optimization was proposed for solving numerical ...ABC algorithm for solving constrained optimization problems and applied it to a set of constrained ...ABC algorithm with that of ... See full document

... Since, artificial neural networks are best suited for automated pattern recognition problems; they are used as a classification tool for this ...important algorithm for training neural ... See full document

... ANN methods are based on some significant conceptions that have been provided by neuroscientists. In the ANN method, a simulation of a small part of the central nervous system is performed wherein ... See full document

... and neural network etc are usually used to mine e-shopper’s transaction database in order to classify ...And artificial neural network is the important one of the ...fact, neural ... See full document

... of some of the classification techniques appearing in this paper for Diabetes diagnoses and ...Hybrid optimization techniques are in the form Artificial Neural networks, Genetic ... See full document

... as artificial neural networks, support vector machines and artificial bee colony optimization algorithm trained neural ...malignant based on the statistical ... See full document

... novel algorithm XK-means which hybridize PSO with K-means so as to integrate the concept of exploration with ...The algorithm includes two parameters namely ai and bi ...K-Means algorithm and the ... See full document

... an algorithm that underlines the computational procedure to find an optimal solution to any given ...of optimization implicitly include reducing computational time and ...of optimization have grown ... See full document