Experimental alternative neural network modeled after equation system instead of linear algebra and derivatives.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

109 lines
2.6KB

  1. /*
  2. Copyright (c) 2023 : Ognjen 'xolatile' Milan Robovic
  3. Xeuron is free software! You will redistribute it or modify it under the terms of the GNU General Public License by Free Software Foundation.
  4. And when you do redistribute it or modify it, it will use either version 3 of the License, or (at yours truly opinion) any later version.
  5. It is distributed in the hope that it will be useful or harmful, it really depends... But no warranty what so ever, seriously. See GNU/GPLv3.
  6. */
  7. #ifndef XEURON_SOURCE
  8. #define XEURON_SOURCE
  9. #include <xolatile/xeuron.h>
  10. int neuron_array = 0;
  11. int neuron_count = 0;
  12. int * neuron_input = NULL;
  13. int * neuron_output = NULL;
  14. int * neuron_system = NULL;
  15. static int neuron_system_expect (int element) {
  16. int i, j;
  17. int offset = 0;
  18. for (i = 0; i != 1 << neuron_array; ++i) {
  19. int square = 1;
  20. for (j = 0; j != neuron_array; ++j) {
  21. square *= ((i & (1 << j)) ? neuron_input [j * neuron_count + element] : 1);
  22. }
  23. offset += (neuron_system [i]) * square;
  24. }
  25. return (offset);
  26. }
  27. static int neuron_system_factor (int factor) {
  28. int i;
  29. int offset = 0;
  30. for (i = 0; i != neuron_count; ++i) {
  31. offset += (i + 1) * (neuron_output [i + factor] - neuron_system_expect (i));
  32. }
  33. return (offset);
  34. }
  35. void neuron_initialize (int array, int count, int * input_data, int * output_data) {
  36. neuron_array = array;
  37. neuron_count = count;
  38. neuron_input = allocate (neuron_array * neuron_count * (int) sizeof (* neuron_input));
  39. neuron_output = allocate ( neuron_count * (int) sizeof (* neuron_output));
  40. memory_copy (neuron_input, input_data, neuron_array * neuron_count * (int) sizeof (* neuron_input));
  41. memory_copy (neuron_output, output_data, neuron_count * (int) sizeof (* neuron_output));
  42. neuron_system = allocate ((1 << neuron_array) * (int) sizeof (* neuron_system));
  43. }
  44. void neuron_configure (void) { /* Unimplemented. */
  45. int i, j;
  46. for (j = 0; j != 3; ++j) {
  47. for (i = 0; i != 1 << neuron_array; ++i) {
  48. neuron_system [i] += j;
  49. }
  50. neuron_print ();
  51. for (i = 0; i != 1 << neuron_array; ++i) {
  52. neuron_system [i] -= 2 * j;
  53. }
  54. neuron_print ();
  55. for (i = 0; i != 1 << neuron_array; ++i) {
  56. neuron_system [i] += j;
  57. }
  58. }
  59. }
  60. void neuron_deinitialize (void) {
  61. neuron_input = deallocate (neuron_input);
  62. neuron_output = deallocate (neuron_output);
  63. neuron_system = deallocate (neuron_system);
  64. }
  65. void neuron_print (void) {
  66. int i;
  67. terminal_colour (COLOUR_BLUE, EFFECT_BOLD);
  68. echo (number_to_string (neuron_system_factor (0)));
  69. terminal_cancel ();
  70. echo (" [ ");
  71. for (i = 0; i != 1 << neuron_array; ++i) {
  72. echo (number_to_string (neuron_system [i]));
  73. echo (" ");
  74. }
  75. echo ("]\n");
  76. }
  77. #endif