ahmedfgad / neuralgenetic Goto Github PK

example_regression_fish案例中，请问可以打印输出适应度最优的自变量具体值嘛？

Hi!
Thank you for sharing this. Anyway may I know why the fitness is set to -999999999?
fitness[max_fitness_idx] = -99999999999
Why is it -? Wasn't fitness is based on accuracy which should be 100%?

Hi Ahmed!
I would like to know, why the new population created based on lines 88-90 is based on parents+offspring?
What is the rationale? Why isn't offspring alone?

Hi :)

Thank you for that work!
I tried to clone and run it, however, I am getting the following error :

Generation : 0
Traceback (most recent call last):
File "Example_GA_ANN.py", line 64, in
activation="sigmoid")
File "/MacLeo/NeuralGenetic/ANN.py", line 31, in fitness
accuracy[sol_idx], _ = predict_outputs(curr_sol_mat, data_inputs, data_outputs, activation=activation)
File "/MacLeo/NeuralGenetic/ANN.py", line 16, in predict_outputs
r1 = numpy.matmul(a=r1, b=curr_weights)
ValueError: invalid number of arguments

Any ideas?

Thanks for the help !

Regards

Hello,

I have a project for solving PDE using Neural Networks and I interest for using PyGAD. Can PyGAD be used for solving PDE?

Thank you very much