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优化配煤专家系统以具有自学习功能的神经网络方法构造系统的知识表达，以登山法和查点法进行目标函数的优化搜索，并配置了强大的Access数据库以及具有Windows’95风格的人权交换界面．
The optimized coal blending expert system constructs the knowledge representation of the system by using the neural network method with self-learning function, searches for the objective function with mountaineering method and check-point method, and configures the powerful Access database and Windows’95-style human rights exchange interface.