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Considering neurons number in the hidden layer of wavelet neural network determines the size and performance of the entire network, this paper use the excitation intensity and attenuation degree of wavelet function to add or delete the hidden layer neurons of wavelet neural network. Thus the structure of wavelet neural network hidden layer is optimized. the forward model and inverse model of internal model control system is identified by the self-built wavelet neural network, whose neural network structure can be dynamically adjusted based on performance requirements. Experimental results show that the proposed control method has better performance than traditional control methods in aspects of robustness and immunity because each algorithm index is better than traditional control method. Hence optimization of clinker sintering process is achieved.