Neural Network Symbolic expression

Prints out the symbolic expression of a Matlab Neural Network toolbox object
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Updated 27 May 2009

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Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).

This allows you to use a neural network model without relying on the neural network toolbox.

Note I only implemented for feed forward nets (MLPs) and not all possible transfer functions are supported. However, it should be very straightforward to do this.

Example:

>> net = newff([-1 1; -1 1],[3 1]);
>> getNeuralNetExpression(net)

ans =

(2/(1+exp(-2*((2/(1+exp(-2*(x1*1.728941e+00 + x2*1.700224e+00 + -2.424871e+00)))-1)*-9.045580e-01 + (2/(1+exp(-2*(x1*-2.422662e+00 + x2*-1.034790e-01 + 000000)))-1)*-1.976229e-01 + (2/(1+exp(-2*(x1*2.044171e+00 + x2*1.304364e+00 + 2.424871e+00)))-1)*1.050105e+00 + 000000)))-1)

>>

This function originates from the Surrogate Modeling (SUMO) Toolbox : http://www.sumo.intec.ugent.be

Cite As

Dirk Gorissen (2024). Neural Network Symbolic expression (https://www.mathworks.com/matlabcentral/fileexchange/19176-neural-network-symbolic-expression), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.0.0

Updated the license conform Mathworks' new policy

1.0.0.0