针对现有化石燃料的日益减少和人类对能源需求的不断增加,地热等可再生能源的探测和评估方法变得更加重要.针对上述情况,文章提出了一种基于神经网络的区域地热评估方法.该方法利用区域地热所具有的环境相似性,将多种环境条件作为评估因子,利用该区域已经得到的地热测量值进行评估因子神经网络训练,通过训练后的地热评估神经网络完成该区域的地热评估.仿真结果表明,该方法得到的地热评估值与真实测量值基本相同,在地热评估方面具有较好的实用价值.%With the dwindling of existing fossil fuel and the increasing demand for energy by human, the exploration of the geothermal and other renewable energy become more important. In this paper, a regional geothermal assessment method base on neural network was presented. The factor of environment about geothermal in the certain region similarity, the neural network has being trained by the measured value which is in the same region and using the neural network to measure the region's geothermal. The simulation results showed that the result of the neural network was close to the real measured values and had good practical value.
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