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中文摘要：
高顺序的有限推动的反应(冷杉木) 的四条最佳的途径 digitalfilters 为用神经网络算法设计四个类型过滤器被开发。Thesolutions 表现为平行算法接近需要的频率 responsespecification。因此，这些方法避免矩阵倒置，并且做 thefilter 的快计算“可能的 s 系数。这些建议算法的集中定理是证明说明他们稳定的 presentedand，并且这些方法的实现是有一些设计指南的 describedtogether。designedFIR 过滤器的涟漪是的模拟结果表演显著地在通带和站乐队的很少，和建议算法 areof 快集中。
英文摘要：
Four optimal approaches of high-order finite-impulse response（FIR） digital filters were developed for designing four types filters using neural network algorithms. The solutions were presented as parallel algorithms to approximate the desired frequency response specification. Therefore, these methods avoid matrix inversion, and make a fast calculation of the filter＇s coefficients possible. The convergence theorems of these proposed algorithms were presented and proved to illustrate them stable, and the implementation of these methods was described together with some design guidelines. The simulation results show that the ripples of the designed FIR filters are significantly little in the pass-band and stop-band, and the proposed algorithms are of fast convergence.
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