6Blind Equalization Algorithm Based on Evolutionary Neural Network
Abstract: This chapter includes the following contents: the basic theory and development of genetic algorithm (GA), the parameter coding, the initial population setting, the design of adapt function, genetic operator choice, the controlling parameter setting method, and the GA and neural network combination mechanism. Furthermore, blind equalization algorithm based on GA optimization neural network weights and structure is studied and computer simulation is carried out. The results show that the convergence performance of the two new algorithms is faster compared with the traditional neural network blind equalization algorithm.
6.1Basic principles of evolutionary neural networks ...
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