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Laurent
2026-03-17 21:28:37 +01:00
commit efab887521
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src/main/java/com/naaturel/ANN/Main.java Normal file
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package com.naaturel.ANN;
import com.naaturel.ANN.domain.abstraction.Neuron;
import com.naaturel.ANN.domain.model.dataset.DataSet;
import com.naaturel.ANN.domain.model.dataset.DataSetEntry;
import com.naaturel.ANN.domain.model.dataset.Label;
import com.naaturel.ANN.domain.model.neuron.Bias;
import com.naaturel.ANN.domain.model.neuron.Input;
import com.naaturel.ANN.domain.model.neuron.Synapse;
import com.naaturel.ANN.domain.model.neuron.Weight;
import com.naaturel.ANN.implementation.activationFunction.Heaviside;
import com.naaturel.ANN.implementation.activationFunction.Linear;
import com.naaturel.ANN.implementation.neuron.SimplePerceptron;
import com.naaturel.ANN.implementation.training.GradientDescentTraining;
import java.util.*;
public class Main {
public static void main(String[] args){
DataSet dataSet = new DataSet(Map.ofEntries(
Map.entry(new DataSetEntry(List.of(1.0F, 6.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(7.0F, 9.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(1.0F, 9.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(7.0F, 10.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(2.0F, 5.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(2.0F, 7.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(2.0F, 8.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(6.0F, 8.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(6.0F, 9.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(3.0F, 5.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(3.0F, 6.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(3.0F, 8.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(3.0F, 9.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(5.0F, 7.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(5.0F, 8.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(5.0F, 10.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(5.0F, 11.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(4.0F, 6.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(4.0F, 7.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(4.0F, 9.0F)), new Label(1.0F)),
Map.entry(new DataSetEntry(List.of(4.0F, 10.0F)), new Label(1.0F))
));
List<Synapse> syns = new ArrayList<>();
syns.add(new Synapse(new Input(0), new Weight()));
syns.add(new Synapse(new Input(0), new Weight()));
Bias bias = new Bias(new Weight());
Neuron n = new SimplePerceptron(syns, bias, new Linear());
GradientDescentTraining st = new GradientDescentTraining();
st.train(n, 0.0003F, dataSet);
}
}