Dane Grid8x8 - Wizualizacja QCP - Jedna klasa vs. reszta
Klasa 1
| G(x)= σ(x+β)(1-σ(x-β)) β=0.3 learningRate = 0.1 maxIterations = 1000 initiations = 10 eps = 0.001 lambda = 1.0 |
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Klasa 2
| G(x)= σ(x+β)(1-σ(x-β)) β=0.3 learningRate = 0.1 maxIterations = 1000 initiations = 10 eps = 0.001 lambda = 1.0 |
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Klasa 3
| G(x)= σ(x+β)(1-σ(x-β)) β=0.3 learningRate = 0.1 maxIterations = 1000 initiations = 10 eps = 0.001 lambda = 1.0 |
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Klasa 4
| G(x)= σ(x+β)(1-σ(x-β)) β=0.3 learningRate = 0.1 maxIterations = 1000 initiations = 10 eps = 0.001 lambda = 1.0 |
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Klasa 5
| G(x)= σ(x+β)(1-σ(x-β)) β=0.3 learningRate = 0.1 maxIterations = 1000 initiations = 10 eps = 0.001 lambda = 1.0 |
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