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The parallel genetic algorithms implementation for neural networks models construction is discussed. The modification of this global optimization algorithm is proposed. The artificial neural networks are effective instrument to solve most problems of technological objectives and processes modelling. The article describes the aspects of genetic algorithms implementation for neural networks structure-parametric...
Based on the Theory of Neuronal Group Selection (TNGS), proposed by Edelman, a network composed of one hundred Izhikevich spiking neurons is analyzed. In this study, a genetic algorithm is used to estimate the Izhikevich neuron model parameters in order to enable the self-organization of a neural network into a cluster of tightly coupled neural cells which fire and oscillate in synchrony at a predefined...
Using genetic algorithm and BP neural network method of combining, this paper has established dynamic forward feedback correction model and has completed the automatic adjustment of the various parameters required for rolling steel pipe, and has made rolled steel pipe system work at the best value. After the actual data validation, the model can more accurately pre-adjusted parameters to achieve intelligent...
Coiling temperature is one of the most important targets of hot strip rolling. The coiling temperature can be controlled by laminar cooling system. A lot of measured data were got by many experiments in considering of the characteristics of hot strip rolling and the strip temperature change characteristics in laminar cooling area. To overcome the defects of traditional model, a new coiling temperature...
Following the thinking clue of the ensemble prediction in numerical weather prediction (NWP), a novel nonlinear artificial intelligence ensemble prediction (NAIEP) model for calculation wind speed of Mountain Darong in Guangxi has been developed based on the multiple neural networks with identical expected output created by using the genetic algorithm (GA) of evolutionary computation. The results...
The new approach for vendor selection problem was established under the stochastic environment. After establishing the traditional multi-objective programming model, through minimizing the optimistic value of the net cost of the total order quantity, rejected quantity and late delivered quantity, the multi-objective stochastic constrained integer programming model was established based on the stochastic...
This study aims at establishing a robust and an effective intelligent control method for nonlinear and complicated systems. In the method, an integrator neural network acquires suitable switching and integration of several controllers for a different local purpose by calculating the fitness function based on the system objective using the genetic algorithm. The proposed method is applied to an equilibrium...
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