diff -Naur gneural_network-0.5.0/src/gneural_network.c gneural_network/src/gneural_network.c
--- gneural_network-0.5.0/src/gneural_network.c	2016-03-18 04:53:18.000000000 -0700
+++ gneural_network/src/gneural_network.c	2016-03-19 13:24:42.000000000 -0700
@@ -55,9 +55,6 @@
 #include<strings.h>
 #endif
 
-// maximum number of training point
-#define MAX_TRAINING_POINTS 8
-
 // maximum allowed number of inputs per neuron
 #define MAX_IN 16
 
@@ -67,9 +64,6 @@
 // maximum number of layers
 #define MAX_NUM_LAYERS 16
 
-// maximum number of points in output file
-#define MAX_NUM_POINTS 64
-
 // definition of various internal types
 #define OFF 0
 #define ON  1
@@ -143,13 +137,13 @@
 
 double WMIN;
 double WMAX;
-double X[MAX_TRAINING_POINTS];
-double Y[MAX_TRAINING_POINTS];
+double *X;
+double *Y;
 double KBTMIN;
 double KBTMAX;
 double GAMMA;
 double ACCURACY;
-double OUTPUT_X[MAX_NUM_POINTS];
+double *OUTPUT_X;
 
 FILE *fp;
 
diff -Naur gneural_network-0.5.0/src/parser.h gneural_network/src/parser.h
--- gneural_network-0.5.0/src/parser.h	2016-03-18 04:52:09.000000000 -0700
+++ gneural_network/src/parser.h	2016-03-19 13:24:53.000000000 -0700
@@ -313,13 +313,10 @@
     printf("NUMBER_OF_TRAINING_POINTS must be positive!\n");
     exit(0);
    }
-   if(ndata>MAX_TRAINING_POINTS){
-    printf("NUMBER_OF_TRAINING_POINTS is too large!\n");
-    printf("please increase MAX_TRAINING_POINTS and recompile!\n");
-    exit(0);
-   }
    printf("NUMBER_OF_TRAINING_POINTS = %d [OK]\n",ndata);
    NDATA=ndata;
+   X=(double *)malloc(sizeof(double)*NDATA);
+   Y=(double *)malloc(sizeof(double)*NDATA);
   }
   // specify the training points for supervised learning
   // syntax: TRAINING_POINT IN/OUT index value
@@ -541,6 +538,7 @@
      exit(0);
     }
     printf("OPTIMIZATION METHOD = GRADIENT DESCENT %d %d %g %g [OK]\n",nxw,maxiter,gamma,eps);
+    OPTIMIZATION_METHOD=GRADIENT_DESCENT;
     VERBOSITY=verbosity;
     NXW=nxw;
     MAXITER=maxiter;
@@ -600,6 +598,7 @@
      exit(0);
     }
     printf("OPTIMIZATION METHOD = GENETIC ALGORITHM %d %d %g %g [OK]\n",nmax,npop,rate,eps);
+    OPTIMIZATION_METHOD=GENETIC_ALGORITHM;
     VERBOSITY=verbosity;
     NMAX=nmax;
     NPOP=npop;
@@ -645,13 +644,9 @@
     printf("NUMBER_OF_POINTS must be positive!\n");
     exit(0);
    }
-   if(num>MAX_NUM_POINTS){
-    printf("NUMBER_OF_POINTS is too large!\n");
-    printf("please increase MAX_NUM_POINTS and recompile!\n");
-    exit(0);
-   }
    printf("NUMBER OF POINTS = %d [OK]\n",num);
    NUMBER_OF_POINTS=num;
+   OUTPUT_X=(double *)malloc(sizeof(double)*NUMBER_OF_POINTS);
   }
   // specify the input points for the output file
   // syntax: INPUT_POINT ind val