The 4th International Symposium on Project Management (ISPM 2016)

208 / 2016-06-27 08:44:13

The Case-Based Reasoning Evaluating Model of Coal Resource Mining Right based on artificial neural network

In order to effectively promote the energy revolution, and promote the rational allocation and optimization of coal resources, making a reasonable evaluation of the coal resources mining rights is the key step. With the development of coal mining rights market, case-based evaluation method will become more and more important in coal mining rights evaluation in the future. But, the existing research has not established a complete coal resources mining rights case valuation method system, especially in case selection and similarity selection. Based on case-based reasoning, and combined with artificial neural network, this thesis set-up a case evaluation model of coal resources mining right. And RBF neural network selection model, case similarity function, weight calculation method are confirmed. Through a practical case of coal mining rights, do researches on the application of this model. The results indicate that the price got from using case-based coal mining rights evaluation method is very close to the final deal price, and that case-based evaluation method is more simple, practical and accurate with the precondition of existence of certain amount of comparable exchange targets.