NNSYSID-Toolbox for System Identification with Neural Networks
NNSYSID-Toolbox for System Identification with Neural Networks
复制标题
NNSYSID-神经网络系统识别工具箱
DOI：
10.1076/mcmd.8.1.1.8342
复制
发表时间：
2002
影响因子：
1.9
通讯作者：
N. K. Poulsen
中科院分区：
文献类型：
--
作者：
M. Nørgaard;Ole Ravn;N. K. Poulsen
用于系统识别的NNSYSID工具集是作为MATLAB®的一个附加组件开发的。NNSYSID工具箱是为辅助辨识非线性动态系统而设计的。它包含了许多基于神经网络的非线性模型结构、有效的训练算法和用于模型验证和模型结构选择的工具。本文概述了NNSYSID的设计，并通过实例说明了NNSYSID的特点。
The NNSYSID toolset for System Identification has been developed as an add on to MATLAB®. The NNSYSID toolbox has been designed to assist identification of nonlinear dynamic systems. It contains a number of nonlinear model structures based on neural networks, effective training algorithms and tools for model validation and model structure selection. This paper gives an overview of the design of NNSYSID and demonstrates its features in an example.