This program reads the above Bayes net from file,
  and then uses it for inference:
/* 
 *  DoInference.c
 *
 *  Example use of Netica-C-API for doing probabilistic inference.
 */
#include "Netica.h"
#include "NeticaEx.c"

#define CHKERR  {if (GetError_ns (env, ERROR_ERR, NULL))  goto error;}

environ_ns* env;

int main (void){
	net_bn* net;
	double belief;
	char mesg[MESG_LEN_ns];
	int res;
	
	env = NewNeticaEnviron_ns (NULL, NULL, NULL);
	res = InitNetica2_bn (env, mesg);
	printf ("%s\n", mesg);
	if (res < 0)  exit (-1);
	
	net = ReadNet_bn ( NewStreamFile_ns ("AsiaEx.dne", env, NULL), 
                           NO_VISUAL_INFO);
	CHKERR

	CompileNet_bn (net);

	belief = GetNodeBelief ("Tuberculosis", "Present", net);
	CHKERR

	printf ("The probability of tuberculosis is %g\n\n", belief);

	EnterFinding ("XRay", "Abnormal", net);
	belief = GetNodeBelief ("Tuberculosis", "Present", net);
	CHKERR

	printf ("Given an abnormal X-ray, \n\
             the probability of tuberculosis is %g\n\n", belief);

	EnterFinding ("VisitAsia", "Visit", net);
	belief = GetNodeBelief ("Tuberculosis", "Present", net);
	CHKERR

	printf ("Given an abnormal X-ray and a visit to Asia, \n\
	         the probability of tuberculosis is %g\n\n", belief);

end:
	FreeNet_bn (net);
	res = CloseNetica_bn (env, mesg);
	printf ("%s\n", mesg);
	return (res < 0 ? -1 : 0);

error:
	fprintf (stderr, "DoInference: Error in %s\n", 
	         ErrorMessage_ns (GetError_ns (env, ERROR_ERR, NULL)));
	goto end;
}
  When this program runs, its output is:
   Netica (AB) 2.15 Win, (C) 1990-2002 Norsys Software Corp.

   The probability of tuberculosis is 0.0104

   Given an abnormal X-ray,
   the probability of tuberculosis is 0.0924109

   Given an abnormal X-ray and a visit to Asia,
   the probability of tuberculosis is 0.3377156