CSO optimizer and batch experiments #45
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* new version (not final) * work with posson 1d * csv files
KAN implementation was added to the models.py file. The implementation consists of two classes: 1. class KANLinear - realization of a linear layer using Kolmogorov-Arnold splines. It allows to model nonlinear dependencies between input and output data using splines. 2. class KAN - realization of multilayer network using Kolmogorov-Arnold splines.
Adding an example of solving the wave equation using KAN.
Adding an example of solving the Bürgers equation using KAN.
Update model.py
…rgers_PSO_KAN_10.csv
…rgers_lam_KAN_10.csv
…urgers_lam_KAN_100.csv
…rgers_lam_KAN_20.csv
…rch_DE_solver into experiments+NGD
Merged
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It is added within PR #47 |
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Add implementation of competitive swarm optimization and CSO experiments results with burgers, LV, kdv, poisson equation