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This paper established a back propagation (BP) neural network tandem cold rolling force prediction model, and optimized by genetic particle swarm algorithm (GPSA). Genetic particle swarm algorithm has the advantage of both genetic algorithm (GA) and particle swarm algorithm (PSO) algorithm, integrates global searching ability with high convergence speed. Taking neural network weights and threshold...
As the back propagation neural network (the BP neural network) can easily be trapped in the local optimal solutions and have slow convergence and the particle swarm optimization (PSO) is weak on the precision of the convergence, this paper proposes a new method to improve the performance with the combination of the two algorithms. This paper applies both of them in a new alternating optimization of...
This paper presents a novel texture recognition method using bispectrum slice. The first step, Radon transform, was to reduce the dimension of the image data. The second step was to calculate bispectrum and extract bispectrum diagonal slices as texture features. The third step was to apply principal component analysis(PCA) for reducing the dimension of feature vectors. Finally, BP(Back Propagation)...
A method based on ant colony algorithm (ACA) is proposed to train weights and thresholds for Back-propagation (BP) neural network. BP algorithm has been widely used in training artificial neural network (ANN). This algorithm has many attractive features, such as adaptive learning, self-organism, and fault tolerant ability. All of them make BP one of the most successful algorithms in various fields...
The improved algorithm of WNN based on BP was proposed in this paper. Theoretical analysis and simulation result show it avoids both the blindness of framework designs for BP neural networks and the problem of nonlinear optimizations, such as local optimization. So it can simplify the training of neural networks. It has better abilities in function learning and generalization. This algorithm was successfully...
The cascade correlation algorithm that is CC algorithms, CC network structure and CC network weights learning algorithm are introduced, based on the operation data of Wanjiazhai hydropower station, the network model of energy characteristics is established based on CC algorithm, the relationship curve between head H and output N is gained under some efficiency. The results show that the CC algorithm...
E-commerce recommendation system is one of the most important and the most successful application field of data mining technology. Recommendation algorithm is the core of the recommendation system. In this paper, a neural networks-based clustering collaborative filtering algorithm in e-commerce recommendation system is designed, trying to establish an classifier model based on BP neural network for...
The forecast of the stock index fluctuation is a difficult job as it is influenced by many factors. In recent years, back propagation neural network (BPNN) has been applied in stock index prediction. However, in practical application, BPNN has some disadvantages. The widely used BP learning algorithm has slow convergent speed and low learning efficiency, and it is easy to get in local minimum. The...
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