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23-05-29 | 2

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처음 초기화를 균일 분포로 랜덤하게 시작함
iris 기준 11 세대만에 99.16 % 에 도달
성능이 매우 높게 나타남
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jung-geun
2023-05-29 04:54:20 +09:00
parent 91c6ec965b
commit c5731c6870
5 changed files with 33 additions and 14 deletions
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6
iris.py
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@@ -39,9 +39,11 @@ x_train, x_test, y_train, y_test = load_data()
loss = 'categorical_crossentropy'
pso_iris = Optimizer(model, loss=loss, n_particles=50, c0=0.4, c1=0.8, w_min=0.7, w_max=1.3)
pso_iris = Optimizer(model, loss=loss, n_particles=50, c0=0.5, c1=0.8, w_min=0.7, w_max=1.3)
weight, score = pso_iris.fit(
x_train, y_train, epochs=500, save=True, save_path="./result/iris", renewal="acc", empirical_balance=True, Dispersion=True, check_point=50)
x_train, y_train, epochs=500, save=True, save_path="./result/iris", renewal="acc", empirical_balance=False, Dispersion=False, check_point=50)
pso_iris.model_save("./result/iris")
pso_iris.save_info("./result/iris/")