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In this paper, mathematical model for heat treatment is constructed according to the process requirement of Roller-hearth Normalizing Furnace. Based on the intelligent control theory of neural network and particle swarm algorithms, the improved PSO-ANN model is established and simulated using lots of data acquired from the site. The result indicates the improved PSO-ANN model can raise the precision...
Two-dimensional principal component analysis technique is an important and well-developed area of image recognition and to date this method has been put forward. A new face recognition method two-dimensional principal component analysis (2DPCA) based on BP neural networks, named 2DPCA-BP method, was proposed. 2DPCA was used to obtain a family of projected feature vectors, in which face image was projected...
Patent classification is a large-scale, hierarchical, imbalanced, multi-label problem. The number of samples in a real-world patent classification typically exceeds one million, and this number increases every year. An effective patent classifier must be able to deal with this situation. This paper discusses the use of min-max modular support vector machine (M3-SVM) to deal with large-scale patent...
ldquoEnergy-faultrdquo method is introduced for faults warning of ventilators, which is based on wavelet package analysis and BP neural network. Character vectors which reflect different faults state of ventilators are extracted from different frequency segments with the technology of wavelet package analysis, and taking them into BP neural network model which is trained with character vectors of...
Nozzle plays very important role to control the gas flow during the interruption for SF6 circuit breaker (CB). Due to the higher non-linear global mapping relationship between interruption performance of SF6 CB and its nozzle structural parameters, artificial neural network (ANN) and genetic algorithm (GA) were applied to the nozzle parameter optimization of SF6 CB on the basis of the non-linear mapping...
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