Function Approximation of Seawater Density Using Genetic Algorithm

The proposed model is based on hybrid intelligent technique where neural network is used for prediction and genetic algorithm is used for evolving the NN topology

De forma bastante geral, a reestruturação a partir da década de 1980, levada a cabo pelos governos dos países centrais, pelas grandes corporações, pelos grandes bancos e

Particularly, this paper focuses on the FCM learning using three different population based meta- heuristics: particle swarm optimization (PSO), genetic algorithm (GA) and a

Popular optimization techniques, as genetic algorithm (GA) and particle swarm optimization (PSO), were used to design the shape of the ground plane in order to improve

Stacking sequence optimization of laminated cylindrical shells for buckling and free vibration using genetic algorithm and neural networks have been investigated by Gharib

In this paper, genetic algorithm based artificial neural network hybrid prediction model is proposed to foretell surface roughness and tool wear.. A multiple

In line with this, artificial neural network technology of backpropagation neural network (BPNN), radial basis function neural network (RBFNN) and generalized regression

The use of artificial intelligence through neural networks and genetic algorithms allows the efficient simulation of oat grain yield and better optimization of seeding density