Hybrid neural networks. - page 8
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Question.
Who implemented the Takagi-Sugeno-Kanga Fuzzy Networks?
Let me read something. :) Maybe it's not so bad. :)There is to me that we have begun to philosophise...
I was not stating a philosophy, but a concept according to which my research is conducted, and sharing real experience, as suggested by the topicstarter.
IlyaA wrote >>
.... and I suggest we end the discussion on this issue with a "we're left to our own devices".
That's fine with me.
IlyaA wrote(a) >>
>> Is it probability that descendants come back to places of their parents?
Would depend on what and what type of other genetic operators are used besides mutation
rip wrote >>
I only use GA to get a new network topology. On average RProp shows reaching a local minimum in 100-200 epochs.
After that, the most prolific individuals are found and a new population is formed. Mutation. RProp.
It is interesting to know what is the total number of fitness function starts?
Question.
Who implemented the Takagi-Sugeno-Kanga Fuzzy Networks?
I have an implementation, but so far have settled on GA
276 page
I have an implementation, but so far have settled on GA
Try it without GA.
I think everyone here is obsessed with GA......
Because they HAVE to!Try without GA.
Without GA it is not good, the forecast is max 30 bars ahead and the quality is not constant. That's why I want to try GA.
Because they HAVE to!
Well said. Short. It's true I don't have a GA.
Several people have spoken with their algorithms, of course they are all implemented differently.
Here is a suggestion. Try to use the function I suggested on the 2nd page as a fitness function. How many runs of the fitness function before the algorithm stops? Everyone will take a look and decide for themselves what they are aiming for. I got an achievement on the 60th epoch, total epochs is 160, 200 individuals in population, total number of starts of FF function is 160*200=32000
I'm thinking, what if n is reduced with each run?