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matlab/e,Radial basis function
標(biāo)簽： function matlab Radial basis
上傳時(shí)間： 2015-02-06
上傳用戶：zmy123
This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
標(biāo)簽： approximation demonstrates capabilities Function
上傳時(shí)間： 2014-01-01
上傳用戶：zjf3110
A program for computing energy levels, reaction matrix and Radial wave functions in the coupled-channel hyperspherical adiabatic approach
標(biāo)簽： coupled-chan computing functions reaction
上傳時(shí)間： 2016-02-24
上傳用戶：英雄
徑向基神經(jīng)網(wǎng)絡(luò)（Radial Basis Function, RBF）
標(biāo)簽： Function Radial Basis RBF
上傳時(shí)間： 2016-02-29
上傳用戶：問(wèn)題問(wèn)題
Radial basis function neural network for pulse radar detection Radial basis function neural network for pulse radar detection
標(biāo)簽： function network Radial neural
上傳時(shí)間： 2014-01-18
上傳用戶：linlin
Radial Basis Function
標(biāo)簽： Function Radial Basis
上傳時(shí)間： 2017-03-25
上傳用戶：王慶才
This is a computer vision project implemented in matlab to remove Radial distortion from the image This is a computer vision project implemented in matlab to remove Radial distortion from the image
標(biāo)簽： implemented distortion computer project
上傳時(shí)間： 2014-11-07
上傳用戶：qiao8960
Abstract—Stable direct and indirect decentralized adaptive Radial basis neural network controllers are presented for a class of interconnected nonlinear systems. The feedback and adaptation mechanisms for each subsystem depend only upon local measurements to provide asymptotic tracking of a reference trajectory. Due to the functional approximation capabilities of Radial basis neural networks, the dynamics for each subsystem are not required to be linear in a set of unknown coeffi cients as is typically required in decentralized adaptive schemes. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds.
標(biāo)簽： decentralized controllers Abstract adaptive
上傳時(shí)間： 2017-08-17
上傳用戶：gdgzhym
meshfree method lecture notes using Radial basis function
標(biāo)簽： meshfree function lecture method
上傳時(shí)間： 2017-08-18
上傳用戶：shus521
meshfree method lecture notes using Radial basis function
標(biāo)簽： meshfree function lecture method
上傳時(shí)間： 2014-01-22
上傳用戶：BIBI
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