Neural Network Symbolic expression 1.0

Date Added: May 29, 2013 | Visits: 537

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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

Requirements: No special requirements

Platforms: Matlab

Keyword: 00000011976229e01, 2424871e2b001105010, 2424871e2b0019045580e01, Bexp, Bexp Bexp, Getneuralnetexpressionnetans, Gtgt, Gtgtthis, Modeling, Newff, Originates, Straightforward, Surrogate, Thisexamplegtgt, Toolbox, X21034790e01, X21304364e2b00, X21700224e2b00

Users rating: 0/10

License: Freeware

Size: 10 KB

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