SwaNN:神经网络的PSO-开源

[{"title":"（ 49 个子文件 5.31MB ） SwaNN:神经网络的PSO-开源","children":[{"title":"SwaNN","children":[{"title":"SwaNN_time_serie3.py <span style='color:#111;'> 2.15KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie1.py <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_waveform2.py <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"SwaNN_regressor_house1.py <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_blobs.py <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie_sunspot.py <span style='color:#111;'> 3.13KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie6.py <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_wine2.py <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_wine_quality2.py <span style='color:#111;'> 1.99KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie2.py <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"SwaNN_regressor_carbon_nanotubes2.py <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie_temperature.py <span style='color:#111;'> 3.14KB </span>","children":null,"spread":false},{"title":"SwaNN_regressor_airfoil_self_noise.py <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie_birth.py <span style='color:#111;'> 3.13KB </span>","children":null,"spread":false},{"title":"SwaNN_regressor_Gaussian.py <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_wine1.py <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_iris3.py <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"SwaNN.py <span style='color:#111;'> 10.40KB </span>","children":null,"spread":false},{"title":"SwaNN_regressor_algebraic.py <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_HTRU_2.py <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_waveform1.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie_pseudo_periodic.py <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false},{"title":"dataset","children":[{"title":"sunspot.csv <span style='color:#111;'> 43.98KB </span>","children":null,"spread":false},{"title":"temperature.csv <span style='color:#111;'> 66.33KB </span>","children":null,"spread":false},{"title":"waveform-+noise.data.csv <span style='color:#111;'> 1.03MB </span>","children":null,"spread":false},{"title":"winequality-red.csv <span style='color:#111;'> 82.23KB </span>","children":null,"spread":false},{"title":"birth.csv <span style='color:#111;'> 6.07KB </span>","children":null,"spread":false},{"title":"synthetic.csv <span style='color:#111;'> 15.45MB </span>","children":null,"spread":false},{"title":"HousesInfo.csv <span style='color:#111;'> 12.33KB </span>","children":null,"spread":false},{"title":"HTRU_2.csv <span style='color:#111;'> 1.65MB </span>","children":null,"spread":false},{"title":"airline-passengers.csv <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"shampoo.csv <span style='color:#111;'> 547B </span>","children":null,"spread":false},{"title":"airfoil_self_noise.csv <span style='color:#111;'> 58.58KB </span>","children":null,"spread":false},{"title":"winequality-white.csv <span style='color:#111;'> 258.23KB </span>","children":null,"spread":false},{"title":"waveform.data.csv <span style='color:#111;'> 542.48KB </span>","children":null,"spread":false},{"title":"carbon_nanotubes.csv <span style='color:#111;'> 613.90KB </span>","children":null,"spread":false}],"spread":false},{"title":"SwaNN_time_serie4.py <span style='color:#111;'> 1.72KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie_passenger1.py <span style='color:#111;'> 3.15KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_wine_quality1.py <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_iris2.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"SwaNN_test_clustering.py <span style='color:#111;'> 1.89KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_iris1.py <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"SwaNN_regressor_carbon_nanotubes1.py <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_moons.py <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"SwaNN_regressor_house2.py <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie_passenger2.py <span style='color:#111;'> 3.12KB </span>","children":null,"spread":false},{"title":"SwaNN_classifier_12_blobs.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie_shampoo.py <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"SwaNN_time_serie5.py <span style='color:#111;'> 2.28KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]