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Risk Assessment for Overseas Mining Investment Based on Fuzzy Neural Network

机译:基于模糊神经网络的海外矿业投资风险评估

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Risk assessment model for mining investment projects is constructed based on fuzzy neural network which is from the combination of fuzzy theory and neural networks. As the basic theory prototype, the fuzzy assessment method is expressed by the way of fuzzy neural network and the principle of deviation-backpropagation of neural network is used to carry out risk assessment by successivahy changing the right value, which overcome the shortages of over-reliance on experts ir traditional risk assessment methodology, etc, while making a good priori knowledge embedded in ine network. Introduction of fuzzy neural network has enriched and promoted the development of risk assessment theory and method.
机译:基于模糊理论与神经网络相结合的模糊神经网络,建立了矿业投资项目风险评估模型。作为基本理论的原型,通过模糊神经网络的方式来表达模糊评估的方法,并利用神经网络的偏向反向传播原理通过连续改变正确的权值来进行风险评估,克服了过度评估的不足。依靠专家和传统的风险评估方法等,同时在网络中嵌入良好的先验知识。模糊神经网络的引入丰富并促进了风险评估理论和方法的发展。

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