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Radial Basis Function Network

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Radial Basis Function Network

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19 Nov 2008 (Updated )

Simulates and trains Gaussian and polyharmonic spline radial basis function networks.

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Description

Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
The package also calculates line integrals between two points as well as the surface's gradients.

For more information, see blog.nutaksas.com for academic papers.

MATLAB release MATLAB 7.4 (R2007a)
MATLAB Search Path
/
/rbf_1_04
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Comments and Ratings (6)
25 Oct 2014 Shunmugesh

Dear Sir.,

I am new to ANN and i want to use RBF for my drilling optimization problem.
Which consist of 3 input and 3 output.
I would appreciate if you get in matlab coding.
Pl send the code to shunmugesh@gmail.com

25 Feb 2014 priyadharsini ganesan

please provide code for dual directional sparse radial basis function

06 Nov 2013 hidangmayum saxena

thnk u

09 Jul 2010 a shrestha

Hi,
i went through your last coding about rbf_1_02. I am just a beginner in RBF. I am working in a research for forecasting. I need a RBF network which has 5 input (environment factors) and one output(suitability index) for predicting the probability of fish catch. i would appreciate if i wil get any help in matlab coding.

08 Oct 2009 Peter Ingram  
19 May 2009 Surendra Dhakal

hi,
I am a beginner in ANN and going through this code for some basic knowledge of RBF. I need to degin a RBF network(with gaussian function) for 22 inputs and 6 outputs. The problem is about the classification of breast cancer types. The 22 inputs are the features extracted from the given breast image(mammogram) and 6 outputs are the different cancer types. The second stage network is also needed with 2 or 3 outputs also(cancer stages). It would be great if you could manage some time to help me this with matlab code.
Thanks in advance!!

Updates
17 Jul 2009

Removed GPL per Mathworks' requirements.

11 Feb 2010

Improved linear inversion.

02 Dec 2014

This update adds a gradient calculator.

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