start_model()
{
	int i;
	int j;
	double temp_threshold;

	for (i = 0; i < TRANSLATE_SIZE - 1; i ++)
		{
		temp_threshold = 256*(1-(double)translate[i]/(double)translate[i+1]);
		upgrade_threshold[i] = (unsigned char)temp_threshold;
		}

	upgrade_threshold[TRANSLATE_SIZE-1] = 255;
	char_total = 0;

	for (i = 0; i < TRANSLATE_SIZE; i ++)
		for (j = 0; j < TRANSLATE_SIZE; j ++)
			both_weights[TRANSLATE_SIZE*i+j] = translate[i] + translate[j];

	for (i = 0; i < NO_OF_CHARS; i ++)
		{
		frequency_info[i] = &frequency_info_data[i];
		for (j = 0; j < (NO_OF_SYMBOLS+1+1)/2; j ++)
			frequency_info[i]->freq[j] = 0;
		frequency_info[i]->total_freq = translate[0] * (NO_OF_SYMBOLS + 1);
		}

	for (i = 0; i < NO_OF_CHARS; i ++)
		char_translation[symbol_translation[i]] = i;

	return(0);
}