In order to study the early warning system of commercial bank's credit risk, a new early-warning model is established by optimizing the weights and thresholds of BP neural network using genetic ...

Signal processing has made extensive use of neural networks. This study examines neural network training using the PSO and BP algorithms. To train the neural network, the PSO algorithm alone, the BP ...

Moreover, it is easy to make the training of weights and thresholds of BP neural network fall into local area because of gradient descent Optimum. So in this experiment, GA genetic algorithm is used ...

There were 8 reasons for the failure, used them as input. A model based on particle swarm optimization (PSO) and BP neural network was established, using MATLAB to emulation; the results showed that: ...

The ISCA algorithm is used to optimize the BP neural network and establish the IISCA-BP reservoir porosity prediction model. In this paper, the natural gamma number, porosity, logging sound wave and ...