摘要： 函数型连接神经网络的网络结构简单，计算复杂度低。该文提出了一种外积扩展型连接神经网络（MFLNN），用于辨识变参数非线性系统，仿真结果表明，MFLNN实现了变参数非线性系统的辨识，效果显著。
关键词:
外积扩展,
函数型连接神经网络,
多层感知器,
非线性系统识别
Abstract: A functional linked neural network is simple in its structure, and easy in its computation. In this paper, a multi-extended linked neural network is introduced to identify the fluctuant parameters of a nonlinear system. Its simulation result is remarkable.
Key words:
Multi-extended,
Functional link artificial neural network,
Multilayer perception,
Nonlinear system identification
李 萍;吴乐南. 基于MFLNN的变参数非线性系统辨识[J]. 计算机工程, 2006, 32(20): 201-202.
LI Ping; WU Lenan. Identification of System with Fluctuant Parameter and Nonlinear Dynamic via Multi-functional Linked ANNs[J]. Computer Engineering, 2006, 32(20): 201-202.