In the paper, the models of uncertain reasoning are focused, such as the reasoning model of Bayes probability, Reliability theory, D-S evidence theory and Neural Network.
本文主要涉及的不确定推理模型包括主观贝叶斯的概率推理模型，可信度理论推理模型，证据理论及其改进推理模型以及神经网络推理模型。
In response to the complexity of calculation for failure probability regarding fatigue crack growth life, a method for reliability analysis based on neural network response surface was presented.
针对疲劳裂纹扩展寿命失效概率计算的复杂性，提出基于神经网络响应面的可靠性分析方法。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
In order to validate character validity, use NearestNeighbor (NN) and probabilistic neural network (PNN) classification identify target, gain content identification probability.
为了验证特征的有效性，使用最近邻及概率神经网络分类器进行了目标识别，得到满意的识别率。
The results show that the results predicted by Bayes model are both in good agreement with the practical conditions and the results obtained from the neural network model and fuzzy probability model.
研究结果表明，该模型判别预测结果与人工神经网络模型及模糊概率模型的判别结果及实际岩爆情况较吻合。
Credit risk is the main risk taken by commercial Banks. Credit risk measurement models include Expert Judgment, Credit Scoring, Neural Network Analysis as well as Modern Default Probability model.
信用风险是商业银行面临的主要风险，信用风险的度量模型有专家判断法、信用评分法、神经网络分析法以及现代违约概率模型等。
Credit risk is the main risk taken by commercial Banks. Credit risk measurement models include Expert Judgment, Credit Scoring, Neural Network Analysis as well as Modern Default Probability model.
信用风险是商业银行面临的主要风险，信用风险的度量模型有专家判断法、信用评分法、神经网络分析法以及现代违约概率模型等。
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