MATLAB: Is it possible to define the result of the neural network inside the tanh (x), its value is between 1 and -1

neural networkneural networks

hi guys, in the neural network equation:

y = B2 + LW * tansig (B1 + IW * x)

Z = (B1 + IW * x)

Is it possible to define the result of the neural network Z value is between 1 and -1? to subsequently apply the Taylor series.

Regards. XOXO

Best Answer

It is possible. However

 1. It is not easy
 2. There is no reason for doing so

Hope this helps.

Thank you for formally accepting my answer

Greg

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MATLAB: Tanh gives value larger than 1

Maybe I'm getting things completely wrong, but the way I interpret your question you've plotted the last 2 components out of B returned bythe ODE-solver, and they grow in ways that "troubles" you?

If that's the case, then you've defined ODE-function such that the last two components of dBdt are alpha_a; alpha_m - meaning that the ode-solver returns the solution of the (components of the coupled ODE's) for the equations:

dF_1dt = alpha_a;
dF_2dt = alpha_m;

With alpha_a and alpha_m defined to be between 0 and 1 - this guarantees that F_1 and F_2 will grow for all times - maybe what you're interested in is the gradients of the F_1 and F_2 (last and second last component in your B) with respect to time - those would be your alpha_a and alpha_m.

HTH

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typecast(uint16(hex2dec('ffff')), 'int16')

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