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Positional analysis needs to be made in the Go game, and it is true for professional players or Go program. The present Go program regards the territory scores as a major standard in its positional analysis, which is a flawed approach. In this article, an approach is proposed to calculate the winning probability, and the model parameter is further optimized by genetic algorithm. Through this approach,...
Rollover is one of the main traffic accident forms for vehicle. According to the datas recently, rollover has become the second most serious accident. However, the study on rollover in China is at the beginning. The study on vehicle rollover is based on the theories of rollover. In order to optimize vehicle configuration,and enhance vehicle rollover stability,and ensure the road safety, rollover model...
In order to determine the weights coefficient of the attributes and the times in dynamic multi-attribute system, based on trigonometrically function, a sine method is presented in this paper. Based on alternative matrix, the developing property of each attribute on the system is fully considered. According to sine function value, a new method to the uncertain multi-attribute decision-making problem...
A scheme of segmentation based on low-level and high-level cues is presented. Firstly, image-pyramid is obtained based on segmentation by Weighted Aggregation (SWA), the suitable coarse pixel image is selected to be as low-level segmentation cues. Kernel principal component analysis (KPCA) is used for building the space of shape to represent shape prior knowledge. The coarse pixel image is expressed...
Mixture model comprises a finite or infinite number of different distributional types of components and offers a much wider range of modeling possibilities than its components. In his paper, we present an approach for Bayesian inference of mixture model with Differential Evolution and Markov chain Monte Carlo(MCMC). Bayesian inference on Gaussian mixture model via Gibbs sampling and optimization with...
To promote a fractal algorithm from being suitable for global optimization only on three dimensional spaces to an n dimensional space, this paper presents a simple and convenient method for dividing an n-dimensional hypercube. A key problem is then solved to develop the fractal algorithm in a high dimensional space so that the fractal algorithm becomes a generalized global optimization algorithm....
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