国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Self-Constructing Fuzzy Neural Network(SCFNN)can create a fuzzy neural network for a target in accordance with a dedicated algorithm.Multi-layer Perceptron(MLP)neural network is a very traditional neural network and many applications were developed in different fields.Back Propagation(BP) combined with steepest descent method make the SCFNN and MLP learned efficiently.Today, many kinds of channel equalizers were constructed, and many kinds channel equalizers based on neural network were also constructed.We prove that the SCFNN can be a superior equalizer. We also compare the performance of SCFNN and MLP applied in channel equalizer. The simulation results show the SCFNN is superior than the MLP in convergence speed, bit error rate and sensitivity. When the SCFNN learning processes is completed the, we found the structure is very simpler.