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中文摘要：
为了尽量减少金属矿山项目开发投资风险,总结分析了影响金属矿山投资的众多因素,将这些影响因素进行分级分类,建立科学的矿山投资评价体系。将模糊理论与神经网络结合起来建立评价模型,首先利用模糊理论对各影响指标进行模糊化处理,然后将模糊化后的结果作为神经网络的初始输入,利用神经网络进行学习训练,模型的最终输出结果可以用来评价金属矿山投资风险。选取13个矿山工程的投资行为进行分析,并与模糊综合评价法所得结果比较,发现误差在可接受范围内,可为评价投资金属矿山风险提供帮助。
英文摘要：
In order to minimize the investment risk of metal mine project,a number of factors of metal mine investment were summarized and analyzed.These factors were graded and classified to establish a scientific evaluation system for metal mine investment.The fuzzy theory combined with neural network was used to establish the fuzzy neural network.Firstly,the fuzzy theory was used for blurring each factor,and then the fuzzed result was deposited in neural network as the initial input.The input was carried on the study training by using the neural network.The final output of model can be used for appraising the risk of metal mine investment.13 examples were analyzed,and the result showed that the error was acceptable compared with fuzzy comprehensive evaluation method.So it is reliable and convenient for Evaluation of investment risks of metal mine investment.
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