A numerical methods are presented in this paper to solve the nonzero-sum N-player Nash differential game. Variation methods are used to convert the original game into a regular optimal control problem which consists of one objective function, the state equations of all the players with initial conditions...

The paper builds a planning model with maximizing the penetration of microgrid as its aim to realize the maximum output of microgrid based on the planning problem of microgrid grid-connection in distribution network. Considering the impact of microgrid grid-connection on distribution network, power flow,...

The apple image segmentation is the key technology of identification and location in the apple-picking machine vision system. On account of huge errors in the process of discriminating fruits by apple-picking robots at present and the long-time processing, the SVM theory in fingerprint image segmentation...

The multiple signal classification, MUSIC algorithm, introduces linear space to direction estimation, which realizes the breakthrough of the sound source direction resolution and lays an important foundation for the method and theory of spacial spectrum estimation. In order to better use the algorithm...

SVM parameter selection determines the performance of its learning and generalization ability. As many in the choice of the number of selectable parameters, blindly searching optimal parameters in a number of parameters are required tremendous time cost , and it is difficult to obtain the optimal parameters....

DSM project implementation includes a plurality of main power plants, power companies, users, etc. It not only need to consider the economic and social benefits, but also to ensure fair market complex market process. It is necessary to scientifically and comprehensively evaluate the effect of DSM project....

With the rapid development of economy, energy demand is increasing in Hebei. Therefore, prediction of energy consumption and structure in Hebei province has importance of actual meaning significance. In this paper, total energy, coal, oil and natural gas consumption data are selected in Hebei province...

The shortest path problem is a classical problem in graph theory, it is also one of the classical problems in the field of combinatorial optimization. This paper analyzes the basic harmony search algorithm model, and points out its insufficiency in solving the shortest path problem, then modifies the...

This paper first introduces the classical algorithm -- Apriori algorithm of association rules in data mining. Then from several width, depth, partitioning, sampling, incremental updating and the angles of the association rules mining of classification discussion. Then using literature search and comparative...

According to the combined forecasting theory and BP neural network for nonlinear data good approximation properties, is proposed based on Bayesian combination, GM (1, 1) model and regression model of BP neural network combination forecast model. In this paper, the short-term number of railway passenger...

Harmony search (HS) algorithm is a heuristic optimization algorithm which is newly developed in recent years. In this paper, according to the shortcomings of the existing harmony search algorithm, an improved adaptive harmony search algorithm (IAHS) is proposed. In the IAHS algorithm, the adaptive parameters...

BP neural network is a multilayer feed-forward network for training according to the error back-propagation algorithm , its main advantage is the strong non-linear mapping ability , but the training of BP neural network is easy to fall into local minima, and slow convergence speed. This paper makes use...

In this paper, we propose a new watermarking algorithm for chaotic sequence based on wavelet transformation from the traditional digital watermarking algorithm in wavelet domain which has been introduced. We have researched the basic steps of watermarking embedding and extraction algorithms for the chaotic...

The attack detection method of the coherency based on changing point by of multiple message types variables computed CUSUM accumulated value, and according to the changeable correlation analysis, set a reasonable threshold for many types of flooding attack detection, through the experiment on the performance...

PID control has been a hot topic and it is a control technology which is widely used in industrial control process. In this paper we researchon PID controller structure and algorithm which based on RBF neural network. It is difficult to determine the clustering radius for the traditional RBF neural network...