提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。

In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.

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构造了局部连接的前馈神经网络的结构和基于递推预报误差的网络训练算法；

The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.

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然后介绍了如何使用模糊聚类算法和等价的前馈神经网络从样本数据中辨识离散的TS模型。

Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network.

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