Application of Fuzzy Neural Network in Optimal Design of Methane Drainage Pipeline System in Coal Mine

The chief composition of methane is marsh gas in coal mine, which is a prime energy. So, it is important that methane drainage is used effective. The optimal design of pipeline system for the methane drainage is a problem which involves many fuzzy and uncertain factors. Applying Matlab function to build an optimal design and select proper training samples, the method based on combining the fuzzy theory with artificial neural networks is used to design the pipeline system. The fuzzy neural network is also an information processing system combining the artificial neural network and the fuzzy theory, which can reduce size of the fuzzy neural network and improve learning speed and reliability of algorithm. The example of Dongyu Coal Mine shows that fuzzy neural network superior design based on Matlab can more effectively avert disadvantage of the common network.