nataraj chakraborty wrote: > Mitchell, > Well as I explained if you penalise those chrome which performs not > similar for all the 32 patterns and encourage those whose devation > from the mean is less that is the performance is similar and falls > within a range of values over all the 32 patterns than the results may > be better.... > You may try this.... in next few evolution.... > > Algo may be something like this.... > > Store all the fittness(Performance) values for all 32 patterns in a > sorted array.... > The middle of the array is the mean.... > Now find the largest difference with the mean of any of the above > elements in the array... > If the largest value is < than a speciefied constant.... than the > fittness is inversely proproiotnal to the largest diffrence.... > I don't really understand what you are suggesting, but you should know that there are about 500 patterns. The 32 patterns was when we were using exactly 5 steps. There are 32 patterns for 5 steps. Now, we are using all path lengths from 3 to 8 steps. 8 steps has 256 patterns, 7 has 128, etc. > *** > This will encourage the ANN to perform in a similar manner for all the > range of i/p's > also Evoltuion may be tougher in that case..... > *** > I think you do penalise the Chrome based on no. of updates..... > The point is to encourage those Chrome requiring only one update..... > *** > The above two actually ellucidates a practical scenerio..... > ******************************************************************************* > > May we should take up all these (the above Ideas).... only after we'r > finished with our present crusade!!! >
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