| Coal-bed gas resources amount and distribution are two important parts of geological evaluation, and are also the bases for the budget before exploiting coal-bed gas resources. The precision of calculation of coal-bed gas resources amount directly impacts on the economic benefits of coal-bed gas development. There is only little data available in the studied area, and the methods of calculation are some used ways currently. Used of the new method of artificial neural network to predict coal-bed gas resources amount, it not only provides the reference for economic exploitation of coal-bed gas resources, but also solves the non-linear problem that the linear prediction model can not solve, due to the geological conditions being complex.The text,taking error-back propagation neural network as the main pole and self-organizing feature map neural network as the auxiliary pole, studied their fundamental principals, improvement of the algorithm and reasonable establishment of the model , then developed a visual artificial neural network software with visual c++.The text, taking prediction of coal-bed gas resources of central and southern Qinshui Basin for an example, studied the factors and their mechanism on coal-bed gas resources amount. The text selected the main counted factors as follows: coverage area of coal, thickness, density and gas content. Took these factors as input data and coal-bed gas resources amount as output data to build the model, and used the developed software to predict coal-bed gas resources amount of study areas. The predicted results indicated that the model was rational and the software had the characteristics of convenient operation and great practicality.According to the predicted results, the text assessed the favorable blocks taking into account the geological conditions of coal bed. The assessed result was that the favorable blocks were in Yangcheng-Changzi, Qinshui, Anze-Qinyuan and Tunliu-Xiangyuan.
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