To optimize the structure of neural network, this paper improves the quick BP network by self configuration method, which overcomes the restrictions of selecting the number of suitable hidden nodes only through experiments in the past and makes it more reasonable to select the number of hidden nodes of neural network.

Optimization of Forming Process for Sheet Metal Multi-objective Based on GS Theory and GA-BP Network

In order to examine transformer momentarily to exclude possible fault in time, three kinds of artificial neural network were applied in the transformer fault diagnosis, such as the BP network, the GA-BP network, and RBF network.

BP Network Treatment of the Data Concerning Relationship between Coal Specific Heat-Capacity and Volatile matters in Coal;

Feasibility of mine ventilation system BP network evaluation method;

Adaptive active noise control in ducts based on BP network;

Data mining of yarn quality based on BP neural network;

Application of BP Neural Network Based on the Improved Genetic Algorithm in Forecast of Storage Reliability;

Multi-Layer BP Neural Network Comprehensive Evaluation on the Ability to Integrated Passenger Transportation on the Urban and Rural Roads;

Through comparing the linear model with back-propagation network.

It introduces a new method based on back-propagation network to predict the reinforced concrete s corrosion speed by chlorine ion.

After introducing the model and algorithm of back-propagation network, a trained BP network of three layers is used to calculate the maximum of elastic moment of middle span of two-way slab.