Open dorksquith opened 7 years ago
Update code using Emax =5000 and random numbers generated with exponentially falling E: http://www.cplusplus.com/reference/random/exponential_distribution/
You have csv outputs, so the next step is to read them into some sort of NN. You want a classification algorithm: 3 samples (0.1,0.5,1.0 Radii) are your n_samples n_features are your variables, for now px,py etc.
http://scikit-learn.org/stable/modules/neural_networks_supervised.html
Please keep a record of what you do like a tutorial teaching someone else.
Update code using Emax =5000 and random numbers generated with exponentially falling E: http://www.cplusplus.com/reference/random/exponential_distribution/
You have csv outputs, so the next step is to read them into some sort of NN. You want a classification algorithm: 3 samples (0.1,0.5,1.0 Radii) are your n_samples n_features are your variables, for now px,py etc.
http://scikit-learn.org/stable/modules/neural_networks_supervised.html
Please keep a record of what you do like a tutorial teaching someone else.