Open jellespijker opened 8 years ago
Extra bonuses added to stimulate the population members that show a complete intersect with the goal vector and a bonus when the positive neuron intersects with the goal. The Bonus is a multiplication of the number of output neurons.
Implement issue #86 A revolution against the elite upperclass
The problem probably lies in the fact that the NN currently predicts either a -1 or a 1 in each neuron. This makes it virtually impossible to move incrementally towards an optimum.
Let the neurons fire a continuous value not just a step function.
Tricky f..in' function... It convergences, but then it get stuck on 30 % error. I will park this and continue to work on it when I got reliable learning data.
One possible solution is to have two NNś one for the roundness and one for angularity.
It could be that issue #92 is related to this bug
Not related to issue #92
The fitness routine has to be rewritten for the Genetic algorithms
This results in a optimization function that hangs on a vector of all -1 or 1