public static Matrix multiplyAddBias(Matrix A, Matrix B, Matrix Bias) {
int aRows = A.getHeight();
int aCols = A.getWidth();
int bRows = B.getHeight();
int bCols = B.getWidth();
int biasRows = Bias.getHeight();
int biasCols = Bias.getWidth();
// Cannot multiply matrices whose dimensions do not match.
// We also need the bias to have the same dimension as the new matrix.
if (aCols != bRows || aRows != biasRows || bCols != biasCols) {
return null;
}
double[][] newMat = new double[aRows][bCols];
for (int i = 0; i < aRows; i++) {
for (int j = 0; j < bCols; j++) {
for (int k = 0; k < aCols; k++) {
newMat[i][j] += A.get(i, k) * B.get(k, j);
}
newMat[i][j] += Bias.get(i, j);
}
}
return new Matrix(newMat);
}
public static Matrix multiplyMatrices(Matrix A, Matrix B) {
int aRows = A.getHeight();
int aCols = A.getWidth();
int bRows = B.getHeight();
int bCols = B.getWidth();
// Cannot multiply matrices whose dimensions do not match.
if (aCols != bRows) {
return null;
}
double[][] newMat = new double[aRows][bCols];
for (int i = 0; i < aRows; i++) {
for (int j = 0; j < bCols; j++) {
for (int k = 0; k < aCols; k++) {
newMat[i][j] += A.get(i, k) * B.get(k, j);
}
}
}
return new Matrix(newMat);
}
/**
* Multiplies two matrices together and then adds the bias matrix in and then logsigs them all.
*/
public static Matrix multiplyLogsigWithBias(Matrix A, Matrix B, Matrix Bias) {
int aRows = A.getHeight();
int aCols = A.getWidth();
int bRows = B.getHeight();
int bCols = B.getWidth();
int biasRows = Bias.getHeight();
int biasCols = Bias.getWidth();
// Cannot multiply matrices whose dimensions do not match.
// We also need the bias to have the same dimension as the new matrix.
if (aCols != bRows) {
System.out.println("A does not have the same number of columns as B does rows");
System.out.println("A Number of cols: " + A.getWidth());
System.out.println("B Number of rows: " + B.getHeight());
return null;
}
if (aRows != biasRows) {
System.out.println("Bias does not have the same number of rows as A");
return null;
}
if (bCols != biasCols) {
System.out.println("Bias does not have the same number of cols as B");
return null;
}
double[][] newMat = new double[aRows][bCols];
for (int i = 0; i < aRows; i++) {
for (int j = 0; j < bCols; j++) {
for (int k = 0; k < aCols; k++) {
newMat[i][j] += A.get(i, k) * B.get(k, j);
}
newMat[i][j] += Bias.get(i, j);
newMat[i][j] = 1.0 / (1 + Math.exp(-1 * newMat[i][j]));
}
}
return new Matrix(newMat);
}