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Zhigang Yang - IEEE Xplore Author Profile

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Through analyzing main affecting factors of the artificial neural network model, the optimization model is established and the optimization parameters is obtain based on the method of momentum and self-adaptive of learn rate, This optimize artificial neural network is not only set up with the limited training samples, but also can improve the operating speed and study efficiency. The optimization ...Show More
According to the current engineering design standards, the single safety factor criteria for slope stability evaluation, derived from the rigid limit equilibrium method or finite element method (FEM), may not include some important information, especially for steep slopes with complex geological conditions. This paper presents a new reliability method that uses Uniform Experiment and Neural Networ...Show More
Through analyzing main affecting factors of the artificial neural network model, the optimization model is established and the optimization parameters is obtain based on the method of momentum and self-adaptive of learn rate, This optimize artificial neural network is not only set up with the limited training samples, but also can improve the operating speed and study efficiency. The optimization ...Show More
Based on the design of uniform experimental, this paper presents a new reliability calculation method, which is organically combined the with artificial neural network. The method adopt by the artificial neural network instead of FEM, which can greatly reduce calculation work. At first, according to the random variable distribution, the limited samples are extracted by uniform experimental, which ...Show More
Based on reliability theory of total Probability, with the concept of sample's weighting coefficient, the minimum sample size can be obtained according to the numerical characteristic values of random variables and the minor sample t-distribution estimation under a certain expected value. And then the design of Uniform Experimental is used to system analysis, which can greatly reduce the number of...Show More