public BiPolarNeuralData randomBiPolar(int size) {
BiPolarNeuralData result = new BiPolarNeuralData(size);
for (int i = 0; i < size; i++) {
if (Math.random() > 0.5) result.setData(i, -1);
else result.setData(i, 1);
}
return result;
}
/** Train the neural network. */
public void train() {
BiPolarNeuralData pattern = new BiPolarNeuralData(this.grid.length);
for (int i = 0; i < this.grid.length; i++) {
pattern.setData(i, grid[i]);
}
this.hopfield.addPattern(pattern);
}
public BiPolarNeuralData stringToBipolar(String str) {
BiPolarNeuralData result = new BiPolarNeuralData(str.length() * BITS_PER_CHAR);
int currentIndex = 0;
for (int i = 0; i < str.length(); i++) {
char ch = Character.toUpperCase(str.charAt(i));
int idx = ch - FIRST_CHAR;
int place = 1;
for (int j = 0; j < BITS_PER_CHAR; j++) {
boolean value = (idx & place) > 0;
result.setData(currentIndex++, value);
place *= 2;
}
}
return result;
}
public String bipolalToString(BiPolarNeuralData data) {
StringBuilder result = new StringBuilder();
int j, a, p;
for (int i = 0; i < (data.size() / BITS_PER_CHAR); i++) {
a = 0;
p = 1;
for (j = 0; j < BITS_PER_CHAR; j++) {
if (data.getBoolean(i * BITS_PER_CHAR + j)) a += p;
p *= 2;
}
result.append((char) (a + FIRST_CHAR));
}
return result.toString();
}
