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fixed syntax error

This commit is contained in:
gurkenhabicht 2018-06-11 15:51:03 +02:00
parent 59cf6e19a5
commit 4d70cb8261
1 changed files with 16 additions and 16 deletions
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32
src/ansi_c_implementation/NLMSvariants.c
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@ -193,13 +193,13 @@ Variant (1/3), substract local mean.
======================================================================================================
*/
void localMean ( mldata_t *mlData, point_t points[] ) {
double *localWeights = (double *) malloc ( sizeof(double) * mlData->windowSize + 1);
memcpy(localWeights, mlData->weights, sizeof(double) * sizeof(mlData->windowSize) );
double *localWeights = (double *) malloc ( sizeof(double) * mlData->windowSize + 1);
memcpy(localWeights, mlData->weights, sizeof(double) * mlData->windowSize + 1);
char fileName[50];
const unsigned xErrorLength = mlData->samplesCount;
double xError[xErrorLength];
unsigned i, xCount = 0; // Runtime vars
double xError[xErrorLength];
unsigned i, xCount = 0; // Runtime vars
mkFileName(fileName, sizeof(fileName), LOCAL_MEAN); // Create Logfile and its filename
FILE* fp4 = fopen(fileName, "w");
@ -233,9 +233,9 @@ void localMean ( mldata_t *mlData, point_t points[] ) {
xSquared = 1.0;
}
for ( i = 1; i < _arrayLength; i++ ) { // Update weights
localWeights[i] = localWeights[i - 1] + mlData->learnrate * xError[xCount] // Substract localMean
localWeights[i - 1] = localWeights[i - 1] + mlData->learnrate * xError[xCount] // Substract localMean
* ( (xSamples[xCount - i] - xMean) / xSquared );
fprintf( fp9, "%lf;", localWeights[i] );
fprintf( fp9, "%lf;", localWeights[i - 1] );
}
fprintf(fp9, "\n");
fprintf(fp4, "%d\t%f\t%f\t%f\n", xCount, xPredicted, xActual, xError[xCount]); // Write to logfile
@ -274,9 +274,9 @@ substract direct predecessor
======================================================================================================
*/
void directPredecessor( mldata_t *mlData, point_t points[]) {
double *localWeights = (double * ) malloc ( sizeof(double) * mlData->windowSize + 1 );
memcpy(localWeights, mlData->weights, sizeof(double) * sizeof(mlData->windowSize));
double *localWeights = (double * ) malloc ( sizeof(double) * mlData->windowSize + 1 );
memcpy(localWeights, mlData->weights, sizeof(double) * mlData->windowSize +1);
char fileName[512];
const unsigned xErrorLength = mlData->samplesCount;
double xError[xErrorLength];
@ -312,9 +312,9 @@ void directPredecessor( mldata_t *mlData, point_t points[]) {
xSquared = 1.0;
}
for ( i = 1; i < _arrayLength; i++ ) { // Update weights
localWeights[i] = localWeights[i-1] + mlData->learnrate * xError[xCount]
localWeights[i - 1] = localWeights[i-1] + mlData->learnrate * xError[xCount]
* ( (xSamples[xCount - 1] - xSamples[xCount - i - 1]) / xSquared);
fprintf( fp9, "%lf\n", localWeights[i] );
fprintf( fp9, "%lf\n", localWeights[i - 1] );
}
fprintf(fp3, "%d\t%f\t%f\t%f\n", xCount, xPredicted, xActual, xError[xCount]); // Write to logfile
@ -352,8 +352,8 @@ differential predecessor.
*/
void differentialPredecessor ( mldata_t *mlData, point_t points[] ) {
double *localWeights = (double *) malloc ( sizeof(double) * mlData->windowSize + 1 );
memcpy(localWeights, mlData->weights, sizeof(double) * sizeof(mlData->windowSize));
memcpy(localWeights, mlData->weights, sizeof(double) * mlData->windowSize + 1);
const unsigned xErrorLength = mlData->samplesCount;
char fileName[512];
double xError[xErrorLength];
@ -391,9 +391,9 @@ void differentialPredecessor ( mldata_t *mlData, point_t points[] ) {
}
for (i = 1; i < _arrayLength; i++) {
localWeights[i] = localWeights[i-1] + mlData->learnrate * xError[xCount]
localWeights[i - 1] = localWeights[i - 1] + mlData->learnrate * xError[xCount]
* ((xSamples[xCount - i] - xSamples[xCount - i - 1]) / xSquared);
fprintf( fp9, "%lf\n", localWeights[i] );
fprintf( fp9, "%lf\n", localWeights[i - 1] );
}
fprintf(fp6, "%d\t%f\t%f\t%f\n", xCount, xPredicted, xActual, xError[xCount]); // Write to logfile
@ -411,7 +411,7 @@ void differentialPredecessor ( mldata_t *mlData, point_t points[] ) {
for (i = 1; i < xErrorLength; i++) { // Mean square
deviation += (xError[i] - mean) * (xError[i] - mean);;
deviation += (xError[i] - mean) * (xError[i] - mean);
}
deviation /= xErrorLength;
printf("mean square err: %lf, variance: %lf\t\t\tdifferential Predecessor\n", mean, deviation);