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自适应神经网络图书馆(Matlab的5.3.1或更高版本)是实现多个自适应神经网络具有不同的自适应算法块的集合。 它主要分布于2001年6月 - 7月詹皮耶罗坎帕(西弗吉尼亚大学)和马里奥·卢卡Fravolini(佩鲁贾大学)。后来改善部分由美国航天局资助NCC5-685支持。 有迹象表明,实施基本上这些种神经网络的块: 自适应线性网络(ADALINE) 多层感知层网络 广义径向基函数网络 动力单元结构(DCS)网络的高斯或圆锥形基函数 此外,包括有关的标量非线性函数逼近的一个Simulink的例子。 最后,该文件包括Training.zip步步instrucions上如何培养GRBF网络和支撑例子。-Adaptive Neural Network Library (version 5.3.1 or higher Matlab' s) is to achieve a plurality of adaptive neural network has a different set of adaptive algorithms block. It is mainly distributed in June 2001- July 詹皮耶罗坎 Pa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improved in part by the NASA-funded NCC5-685 support. There are indications that the implementation of these types of neural networks basically block: adaptive linear network (ADALINE) multi-layer network-aware generalized radial basis function network power unit structure (DCS) network Gaussian or conical base function addition, including related Examples of scalar nonlinear function approximation of a Simulink. Finally, the document includes a step by step instrucions on how to cultivate GRBF Training.zip network and support examples.
Date : 2025-12-24 Size : 584kb User : YuWang

各类回归方法的实现(LS,BR,LS...)(implement of regression)
Date : 2025-12-24 Size : 226kb User : yanicelyy
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