Naaturel/ANN-framework
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Fix weighted sum back

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This commit is contained in:
Laurent
2026-04-01 17:40:33 +02:00
parent 1e8b02089c
commit 4441b149f9
4 changed files with 12 additions and 14 deletions
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10
src/main/java/com/naaturel/ANN/Main.java
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@@ -24,9 +24,9 @@ public class Main {
int nbrClass = 1;
DataSet dataset = new DatasetExtractor()
.extract("C:/Users/Laurent/Desktop/ANN-framework/src/main/resources/assets/table_2_9.csv", nbrClass);
.extract("C:/Users/Laurent/Desktop/ANN-framework/src/main/resources/assets/table_4_12.csv", nbrClass);
int[] neuronPerLayer = new int[]{1800, 2, 1800, dataset.getNbrLabels()};
int[] neuronPerLayer = new int[]{10, 5, 10, dataset.getNbrLabels()};
int nbrInput = dataset.getNbrInputs();
FullyConnectedNetwork network = createNetwork(neuronPerLayer, nbrInput);
@@ -36,7 +36,7 @@ public class Main {
Trainer trainer = new GradientBackpropagationTraining();
trainer.train(0.01F, 2000, network, dataset);
//plotGraph(dataset, network);
plotGraph(dataset, network);
}
private static FullyConnectedNetwork createNetwork(int[] neuronPerLayer, int nbrInput){
@@ -78,8 +78,8 @@ public class Main {
});
}
float min = -5F;
float max = 5F;
float min = -3F;
float max = 3F;
float step = 0.03F;
for (float x = min; x < max; x+=step){
for (float y = min; y < max; y+=step){