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Notice of Violation of IEEE Publication Principles"A New Predictive Mechanism Based on Artificial Neural Network,"by Dong Li and Wenqiang Yu,in the Proceedings of the International Conference on Computational Intelligence and Security, Nov. 2006 pp. 333-338After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has...
Process neural network (PNN) is a new type of artificial neural network studied in recent year. PNN is an extent of traditional neural network, in which the inputs and outputs may be time-variation. Some modified algorithms for raising the training speed of PNN were investigated emphatically. These algorithms were based on function orthogonal basis expansion which exist low-speed convergence in network...
This paper presents a novel neurodynamic approach for solving generalized eigenvalue problems. A series of neurodynamic systems are proposed for finding all eigenvectors to a given pair (A, B) of matrices. Dynamical analysis shows that each system is globally convergent to an exact eigenvector of the pair (A, B) and hence all the eigenvectors can be found inductively by the proposed neurodynamic systems...
This paper presents a neural network with chaotic dynamics to solve the optimal routing with the reduction of packet loss in computer network. The proposed chaotic neural network (CNN) can control network energy to increase, decrease or keep unchanged through chaotic controlled quantities added to each neuron, which can help neural network to enlarge searching space to get optimal solutions and avoid...
The customer demand and replenishment lead-time can be considered as grey fuzzy variables combining grey and fuzzy twofold uncertain factors. The multistage inventory model under periodical review policy was presented based on the chance measure of grey fuzzy variable. The inventory would be replenished to certain level when the inventory level drops to the re-order point. The optimal re-order point...
A novel method for fingerprint matching using invariant moment fingerCode and learning vector quantization (LVQ) neural network (NN) is proposed. A fingerprint image is preprocessed to remove the background and to enhance the image by eliminating the LL4 sub-band component of a hierarchical discrete wavelet transform (DWT). Seven invariant moment features, called as a fingerCode, are extracted based...
A nondestructive optical method for determining the sugar and acidity contents of yogurt was investigated. Two types of preprocessing were used before the data were analyzed with multivariate calibration methods of principal component artificial neural network (PC-ANN) and partial least square (PLS). In PC-ANN models, the scores of the principal components were chosen as the input nodes for the input...
A new hybrid particle swarm optimization (PSO) algorithm with adaptive inertia weight factor (AIWF) is proposed. By incorporating chaotic local research method, it proposed the PSO which combined with chaos (CPSO), and applied it in evolving the artificial neural network (ANN). Then, based on the actual load data provided by a regional power grid in the south of China, the proposed method is used...
Pattern recognition problems specifically for spectral data were developed. As an application, classification of four tea varieties based on near infrared spectra was taken by using the method. Factor analysis (FA) and artificial neural networks (ANN) were used for pattern recognition in this research. FA is a very effective data mining way; it was applied to enhance species features and reduce data...
An improved method was proposed in order to accelerate the convergence speed and reduce the training time of back propagation (BP) neural network. The principal component analysis (PCA) was used as the pre-processing to select principal components from the input variables. The regression and correlation analysis were used as the post-processing to analyze the result and test the precision of training...
Establishing a case retrieval algorithm is the key step of the high-rise structure intelligent form optimization (IFO) based on case based reasoning (CBR). First, analyzes the defects of the traditional case retrieval method (CRM) based on typical distance and the characteristics of architecture structure case retrieval, an improved BP-based intelligent CRM was established and the topological structure...
A compression algorithm based on wavelet networks for historical data in process control system is developed in this paper. The implementation and computation process of the algorithm are described in detail. The simulation results show that the algorithm has the advantage of high convergence rate and compression ratio once applied to the compression and decompression process of pressure signals from...
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