Naaturel/ANN-framework
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Laurent
2026-03-22 23:36:44 +01:00
parent 56f88bded3
commit 76bc791889
6 changed files with 57 additions and 31 deletions
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8
src/main/java/com/naaturel/ANN/Main.java
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@@ -1,6 +1,7 @@
package com.naaturel.ANN;
import com.naaturel.ANN.domain.abstraction.Neuron;
import com.naaturel.ANN.domain.abstraction.Trainer;
import com.naaturel.ANN.domain.model.dataset.DataSet;
import com.naaturel.ANN.domain.model.dataset.DataSetEntry;
import com.naaturel.ANN.domain.model.dataset.Label;
@@ -8,7 +9,6 @@ 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.AdalineTraining;
@@ -29,8 +29,8 @@ public class Main {
DataSet andDataSet = new DataSet(Map.ofEntries(
Map.entry(new DataSetEntry(List.of(0.0F, 0.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(0.0F, 1.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(1.0F, 0.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(0.0F, 1.0F)), new Label(-1.0F)),
Map.entry(new DataSetEntry(List.of(1.0F, 1.0F)), new Label(1.0F))
));
@@ -65,11 +65,11 @@ public class Main {
Bias bias = new Bias(new Weight(0));
Neuron n = new SimplePerceptron(syns, bias, new Linear());
AdalineTraining st = new AdalineTraining();
Trainer trainer = new AdalineTraining();
long start = System.currentTimeMillis();
st.train(n, 0.03F, andDataSet);
trainer.train(n, 0.03F, andDataSet);
long end = System.currentTimeMillis();
System.out.printf("Training completed in %.2f s%n", (end - start) / 1000.0);