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Box1
This website contains an archive of files for the Acorn Electron, BBC Micro, Acorn Archimedes, Commodore 16 and Commodore 64 computers, which Dominic Ford has rescued from his private collection of floppy disks and cassettes.
Some of these files were originally commercial releases in the 1980s and 1990s, but they are now widely available online. I assume that copyright over them is no longer being asserted. If you own the copyright and would like files to be removed, please contact me.
| Tape/disk: | Home » Archimedes archive » Archimedes World » archimedes_world_volume_14_issue_12_scp.adf » !AcornAns_AcornAns |
| Filename: | Box1 |
| Read OK: | ✔ |
| File size: | 08D6 bytes |
| Load address: | 0000 |
| Exec address: | 0000 |
File contents
Data structures General
=============== =======
typedef struct { general parameters determining size of neural net and nature of training,
unit error_threshold; used by many functions
int start_iter;
int no_of_inputs,
no_of_h1_nodes,
no_of_outputs;
BOOL sigmoid_out;
unit alpha,
learning_rate,
norm_in_min,
norm_in_range;
} ff_setup_rec;
we will use a 16 bit fixed point format for all our net data,
typedef int unit; where an int i represents value i/65536
typedef unit *vector; ptr to a dynamically allocated array of units
typedef vector *weights; ptr to a dynamic array of vectors, giving a dynamic two dimensional array
our neural net is stored in two parts � the collection of network nodes
& the collection of weights between nodes:
typedef struct { the network structure � essentially just three arrays comprising
BOOL allocated; the input, output and hidden layer nodes
vector x_inp, y_out;
vector h1;
int si, so, sh; a record of the size of each of the three vectors
} network_rec;
typedef struct { the weights structure � two dynamic two dimensional arrays of weight data
BOOL allocated; wi pointing to input weights, those between input and hidden layer nodes
weights wi, wo; wo pointing to output weights, those between hidden layer and output nodes
int si, so, sh; wi has si*sh elements, wo has sh*so elements
} weights_rec;
typedef struct { a record of network performance kept during network training
int high_water, count_max,
last_right, last_wrong,
right_count, wrong_count,
nbr_tr_items;
int iter;
} display_rec;
Brolly specific
===============
typedef struct { in our brolly example, the following data, as well as force
unit x_pos, applied to brolly, comprise our five items of network input
x_dot,
theta,
theta_dot;
} state_rec;
00000000 44 61 74 61 20 73 74 72 75 63 74 75 72 65 73 20 |Data structures |
00000010 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 | |
00000020 47 65 6e 65 72 61 6c 0a 3d 3d 3d 3d 3d 3d 3d 3d |General.========|
00000030 3d 3d 3d 3d 3d 3d 3d 20 20 20 20 20 20 20 20 20 |======= |
00000040 20 20 20 20 20 20 20 20 3d 3d 3d 3d 3d 3d 3d 0a | =======.|
00000050 74 79 70 65 64 65 66 20 73 74 72 75 63 74 20 7b |typedef struct {|
00000060 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 | |
00000070 67 65 6e 65 72 61 6c 20 70 61 72 61 6d 65 74 65 |general paramete|
00000080 72 73 20 64 65 74 65 72 6d 69 6e 69 6e 67 20 73 |rs determining s|
00000090 69 7a 65 20 6f 66 20 6e 65 75 72 61 6c 20 6e 65 |ize of neural ne|
000000a0 74 20 61 6e 64 20 6e 61 74 75 72 65 20 6f 66 20 |t and nature of |
000000b0 74 72 61 69 6e 69 6e 67 2c 0a 20 20 75 6e 69 74 |training,. unit|
000000c0 20 65 72 72 6f 72 5f 74 68 72 65 73 68 6f 6c 64 | error_threshold|
000000d0 3b 20 20 20 20 20 20 20 20 20 75 73 65 64 20 62 |; used b|
000000e0 79 20 6d 61 6e 79 20 66 75 6e 63 74 69 6f 6e 73 |y many functions|
000000f0 0a 20 20 69 6e 74 20 20 73 74 61 72 74 5f 69 74 |. int start_it|
00000100 65 72 3b 0a 20 20 69 6e 74 20 20 6e 6f 5f 6f 66 |er;. int no_of|
00000110 5f 69 6e 70 75 74 73 2c 0a 20 20 20 20 20 20 20 |_inputs,. |
00000120 6e 6f 5f 6f 66 5f 68 31 5f 6e 6f 64 65 73 2c 0a |no_of_h1_nodes,.|
00000130 20 20 20 20 20 20 20 6e 6f 5f 6f 66 5f 6f 75 74 | no_of_out|
00000140 70 75 74 73 3b 0a 20 20 42 4f 4f 4c 20 73 69 67 |puts;. BOOL sig|
00000150 6d 6f 69 64 5f 6f 75 74 3b 0a 20 20 75 6e 69 74 |moid_out;. unit|
00000160 20 61 6c 70 68 61 2c 0a 20 20 20 20 20 20 20 6c | alpha,. l|
00000170 65 61 72 6e 69 6e 67 5f 72 61 74 65 2c 0a 20 20 |earning_rate,. |
00000180 20 20 20 20 20 6e 6f 72 6d 5f 69 6e 5f 6d 69 6e | norm_in_min|
00000190 2c 0a 20 20 20 20 20 20 20 6e 6f 72 6d 5f 69 6e |,. norm_in|
000001a0 5f 72 61 6e 67 65 3b 0a 7d 20 66 66 5f 73 65 74 |_range;.} ff_set|
000001b0 75 70 5f 72 65 63 3b 0a 20 20 20 20 20 20 20 20 |up_rec;. |
000001c0 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 | |
000001d0 20 20 20 20 20 20 20 20 77 65 20 77 69 6c 6c 20 | we will |
000001e0 75 73 65 20 61 20 31 36 20 62 69 74 20 66 69 78 |use a 16 bit fix|
000001f0 65 64 20 70 6f 69 6e 74 20 66 6f 72 6d 61 74 20 |ed point format |
00000200 66 6f 72 20 61 6c 6c 20 6f 75 72 20 6e 65 74 20 |for all our net |
00000210 64 61 74 61 2c 0a 74 79 70 65 64 65 66 20 69 6e |data,.typedef in|
00000220 74 20 75 6e 69 74 3b 20 20 20 20 20 20 20 20 20 |t unit; |
00000230 20 20 20 20 20 20 77 68 65 72 65 20 61 6e 20 69 | where an i|
00000240 6e 74 20 69 20 72 65 70 72 65 73 65 6e 74 73 20 |nt i represents |
00000250 76 61 6c 75 65 20 69 2f 36 35 35 33 36 0a 74 79 |value i/65536.ty|
00000260 70 65 64 65 66 20 75 6e 69 74 20 2a 76 65 63 74 |pedef unit *vect|
00000270 6f 72 3b 20 20 20 20 20 20 20 20 20 20 20 70 74 |or; pt|
00000280 72 20 74 6f 20 61 20 64 79 6e 61 6d 69 63 61 6c |r to a dynamical|
00000290 6c 79 20 61 6c 6c 6f 63 61 74 65 64 20 61 72 72 |ly allocated arr|
000002a0 61 79 20 6f 66 20 75 6e 69 74 73 0a 74 79 70 65 |ay of units.type|
000002b0 64 65 66 20 76 65 63 74 6f 72 20 2a 77 65 69 67 |def vector *weig|
000002c0 68 74 73 3b 20 20 20 20 20 20 20 20 70 74 72 20 |hts; ptr |
000002d0 74 6f 20 61 20 64 79 6e 61 6d 69 63 20 61 72 72 |to a dynamic arr|
000002e0 61 79 20 6f 66 20 76 65 63 74 6f 72 73 2c 20 67 |ay of vectors, g|
000002f0 69 76 69 6e 67 20 61 20 64 79 6e 61 6d 69 63 20 |iving a dynamic |
00000300 74 77 6f 20 64 69 6d 65 6e 73 69 6f 6e 61 6c 20 |two dimensional |
00000310 61 72 72 61 79 0a 0a 20 20 20 20 20 20 20 20 20 |array.. |
00000320 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 | |
00000330 20 20 20 20 20 20 20 6f 75 72 20 6e 65 75 72 61 | our neura|
00000340 6c 20 6e 65 74 20 69 73 20 73 74 6f 72 65 64 20 |l net is stored |
00000350 69 6e 20 74 77 6f 20 70 61 72 74 73 20 99 20 74 |in two parts . t|
00000360 68 65 20 63 6f 6c 6c 65 63 74 69 6f 6e 20 6f 66 |he collection of|
00000370 20 6e 65 74 77 6f 72 6b 20 6e 6f 64 65 73 0a 20 | network nodes. |
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00000390 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 26 | &|
000003a0 20 74 68 65 20 63 6f 6c 6c 65 63 74 69 6f 6e 20 | the collection |
000003b0 6f 66 20 77 65 69 67 68 74 73 20 62 65 74 77 65 |of weights betwe|
000003c0 65 6e 20 6e 6f 64 65 73 3a 0a 0a 74 79 70 65 64 |en nodes:..typed|
000003d0 65 66 20 73 74 72 75 63 74 20 7b 20 20 20 20 20 |ef struct { |
000003e0 20 20 20 20 20 20 20 20 20 20 20 74 68 65 20 6e | the n|
000003f0 65 74 77 6f 72 6b 20 73 74 72 75 63 74 75 72 65 |etwork structure|
00000400 20 99 20 65 73 73 65 6e 74 69 61 6c 6c 79 20 6a | . essentially j|
00000410 75 73 74 20 74 68 72 65 65 20 61 72 72 61 79 73 |ust three arrays|
00000420 20 63 6f 6d 70 72 69 73 69 6e 67 0a 20 20 42 4f | comprising. BO|
00000430 4f 4c 20 61 6c 6c 6f 63 61 74 65 64 3b 20 20 20 |OL allocated; |
00000440 20 20 20 20 20 20 20 20 20 20 20 20 74 68 65 20 | the |
00000450 69 6e 70 75 74 2c 20 6f 75 74 70 75 74 20 61 6e |input, output an|
00000460 64 20 68 69 64 64 65 6e 20 6c 61 79 65 72 20 6e |d hidden layer n|
00000470 6f 64 65 73 0a 20 20 76 65 63 74 6f 72 20 78 5f |odes. vector x_|
00000480 69 6e 70 2c 20 79 5f 6f 75 74 3b 0a 20 20 76 65 |inp, y_out;. ve|
00000490 63 74 6f 72 20 68 31 3b 0a 20 20 69 6e 74 20 73 |ctor h1;. int s|
000004a0 69 2c 20 73 6f 2c 20 73 68 3b 20 20 20 20 20 20 |i, so, sh; |
000004b0 20 20 20 20 20 20 20 20 20 61 20 72 65 63 6f 72 | a recor|
000004c0 64 20 6f 66 20 74 68 65 20 73 69 7a 65 20 6f 66 |d of the size of|
000004d0 20 65 61 63 68 20 6f 66 20 74 68 65 20 74 68 72 | each of the thr|
000004e0 65 65 20 76 65 63 74 6f 72 73 0a 7d 20 6e 65 74 |ee vectors.} net|
000004f0 77 6f 72 6b 5f 72 65 63 3b 0a 0a 74 79 70 65 64 |work_rec;..typed|
00000500 65 66 20 73 74 72 75 63 74 20 7b 20 20 20 20 20 |ef struct { |
00000510 20 20 20 20 20 20 20 20 20 20 20 74 68 65 20 77 | the w|
00000520 65 69 67 68 74 73 20 73 74 72 75 63 74 75 72 65 |eights structure|
00000530 20 99 20 74 77 6f 20 64 79 6e 61 6d 69 63 20 74 | . two dynamic t|
00000540 77 6f 20 64 69 6d 65 6e 73 69 6f 6e 61 6c 20 61 |wo dimensional a|
00000550 72 72 61 79 73 20 6f 66 20 77 65 69 67 68 74 20 |rrays of weight |
00000560 64 61 74 61 0a 20 20 42 4f 4f 4c 20 61 6c 6c 6f |data. BOOL allo|
00000570 63 61 74 65 64 3b 20 20 20 20 20 20 20 20 20 20 |cated; |
00000580 20 20 20 20 20 77 69 20 70 6f 69 6e 74 69 6e 67 | wi pointing|
00000590 20 74 6f 20 69 6e 70 75 74 20 77 65 69 67 68 74 | to input weight|
000005a0 73 2c 20 74 68 6f 73 65 20 62 65 74 77 65 65 6e |s, those between|
000005b0 20 69 6e 70 75 74 20 61 6e 64 20 68 69 64 64 65 | input and hidde|
000005c0 6e 20 6c 61 79 65 72 20 6e 6f 64 65 73 0a 20 20 |n layer nodes. |
000005d0 77 65 69 67 68 74 73 20 77 69 2c 20 77 6f 3b 20 |weights wi, wo; |
000005e0 20 20 20 20 20 20 20 20 20 20 20 20 20 20 77 6f | wo|
000005f0 20 70 6f 69 6e 74 69 6e 67 20 74 6f 20 6f 75 74 | pointing to out|
00000600 70 75 74 20 77 65 69 67 68 74 73 2c 20 74 68 6f |put weights, tho|
00000610 73 65 20 62 65 74 77 65 65 6e 20 68 69 64 64 65 |se between hidde|
00000620 6e 20 6c 61 79 65 72 20 61 6e 64 20 6f 75 74 70 |n layer and outp|
00000630 75 74 20 6e 6f 64 65 73 0a 20 20 69 6e 74 20 73 |ut nodes. int s|
00000640 69 2c 20 73 6f 2c 20 73 68 3b 20 20 20 20 20 20 |i, so, sh; |
00000650 20 20 20 20 20 20 20 20 20 77 69 20 68 61 73 20 | wi has |
00000660 73 69 2a 73 68 20 65 6c 65 6d 65 6e 74 73 2c 20 |si*sh elements, |
00000670 77 6f 20 68 61 73 20 73 68 2a 73 6f 20 65 6c 65 |wo has sh*so ele|
00000680 6d 65 6e 74 73 0a 7d 20 77 65 69 67 68 74 73 5f |ments.} weights_|
00000690 72 65 63 3b 0a 0a 74 79 70 65 64 65 66 20 73 74 |rec;..typedef st|
000006a0 72 75 63 74 20 7b 20 20 20 20 20 20 20 20 20 20 |ruct { |
000006b0 20 20 20 20 20 20 61 20 72 65 63 6f 72 64 20 6f | a record o|
000006c0 66 20 6e 65 74 77 6f 72 6b 20 70 65 72 66 6f 72 |f network perfor|
000006d0 6d 61 6e 63 65 20 6b 65 70 74 20 64 75 72 69 6e |mance kept durin|
000006e0 67 20 6e 65 74 77 6f 72 6b 20 74 72 61 69 6e 69 |g network traini|
000006f0 6e 67 0a 20 20 69 6e 74 20 68 69 67 68 5f 77 61 |ng. int high_wa|
00000700 74 65 72 2c 20 63 6f 75 6e 74 5f 6d 61 78 2c 0a |ter, count_max,.|
00000710 20 20 20 20 20 20 20 6c 61 73 74 5f 72 69 67 68 | last_righ|
00000720 74 2c 20 6c 61 73 74 5f 77 72 6f 6e 67 2c 0a 20 |t, last_wrong,. |
00000730 20 20 20 20 20 20 72 69 67 68 74 5f 63 6f 75 6e | right_coun|
00000740 74 2c 20 77 72 6f 6e 67 5f 63 6f 75 6e 74 2c 0a |t, wrong_count,.|
00000750 20 20 20 20 20 20 20 6e 62 72 5f 74 72 5f 69 74 | nbr_tr_it|
00000760 65 6d 73 3b 0a 20 20 69 6e 74 20 69 74 65 72 3b |ems;. int iter;|
00000770 0a 7d 20 64 69 73 70 6c 61 79 5f 72 65 63 3b 0a |.} display_rec;.|
00000780 0a 0a 20 20 20 20 20 20 20 20 20 20 20 20 20 20 |.. |
00000790 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 | |
000007a0 20 20 42 72 6f 6c 6c 79 20 73 70 65 63 69 66 69 | Brolly specifi|
000007b0 63 0a 20 20 20 20 20 20 20 20 20 20 20 20 20 20 |c. |
000007c0 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 | |
000007d0 20 20 3d 3d 3d 3d 3d 3d 3d 3d 3d 3d 3d 3d 3d 3d | ==============|
000007e0 3d 0a 74 79 70 65 64 65 66 20 73 74 72 75 63 74 |=.typedef struct|
000007f0 20 7b 20 20 20 20 20 20 20 20 20 20 20 20 20 20 | { |
00000800 20 20 69 6e 20 6f 75 72 20 62 72 6f 6c 6c 79 20 | in our brolly |
00000810 65 78 61 6d 70 6c 65 2c 20 74 68 65 20 66 6f 6c |example, the fol|
00000820 6c 6f 77 69 6e 67 20 64 61 74 61 2c 20 61 73 20 |lowing data, as |
00000830 77 65 6c 6c 20 61 73 20 66 6f 72 63 65 0a 20 20 |well as force. |
00000840 75 6e 69 74 20 78 5f 70 6f 73 2c 20 20 20 20 20 |unit x_pos, |
00000850 20 20 20 20 20 20 20 20 20 20 20 20 20 20 61 70 | ap|
00000860 70 6c 69 65 64 20 74 6f 20 62 72 6f 6c 6c 79 2c |plied to brolly,|
00000870 20 63 6f 6d 70 72 69 73 65 20 6f 75 72 20 66 69 | comprise our fi|
00000880 76 65 20 69 74 65 6d 73 20 6f 66 20 6e 65 74 77 |ve items of netw|
00000890 6f 72 6b 20 69 6e 70 75 74 0a 20 20 20 20 20 20 |ork input. |
000008a0 20 78 5f 64 6f 74 2c 0a 20 20 20 20 20 20 20 74 | x_dot,. t|
000008b0 68 65 74 61 2c 0a 20 20 20 20 20 20 20 74 68 65 |heta,. the|
000008c0 74 61 5f 64 6f 74 3b 0a 7d 20 73 74 61 74 65 5f |ta_dot;.} state_|
000008d0 72 65 63 3b 0a 0a |rec;..|
000008d6 
.