Information Technology Reference
In-Depth Information
a.
TbDTTTfTTaUDcUUTTafeefebabbdabffddfc...
...feeeabcabfabdcfe9512593853547311...
...15067183564799391795954974176167907
W = {0.241, 1.432, 1.705, -1.95, 1.19, 1.344, 0.925, -0.163, -1.531, 1.423}
b.
Figure 10.7.
A perfect, extremely compact solution to the 6-multiplexer function
designed with the GEP-NN algorithm.
a)
Its chromosome and corresponding array
of weights.
b)
The fully expressed neural network encoded in the chromosome.
