net5600k.net

这是bs球队的仿真2D比赛程序

# Layers: 3
# Topology (input - hidden - output)
topology: 6 64 1 
set_update_f 0 0.100000 0.000000 0.000000 -1.999421 0.000000 3.901369 2.756838 3.901369 -1.999644 0.000000 
input_scale 1 0 0.1 0.1 0
input_scale 2 0 0.5 0.5 0
input_scale 3 0 2 2 0
input_scale 4 0 2 2 0
input_scale 5 0 0.5 0.5 0
input_scale 6 0 0.5 0.5 0



# Connection structure - format:
# <unit_no> <act_id>
# Weights <from_unit> <value>

7 1
0 -0.60856  1 -0.488271  2 -0.295904  3 -0.279026  4 -0.108945  5 -0.452848  6 -0.468423  
8 1
0 -0.188083  1 -0.026885  2 -0.133907  3 -0.208014  4 0.338275  5 0.402893  6 0.0344895  
9 1
0 -0.00244207  1 -0.359741  2 0.160538  3 -0.443637  4 -0.321748  5 -0.308254  6 0.355307  
10 1
0 -0.280678  1 0.0768005  2 -0.0494423  3 0.203745  4 -0.237508  5 0.569313  6 0.0655755  
11 1
0 -0.409936  1 -0.149908  2 -0.085272  3 -0.207023  4 0.832887  5 0.227108  6 -1.38484  
12 1
0 -0.400168  1 -0.564535  2 -0.141812  3 0.193516  4 0.225261  5 0.145871  6 -0.553022  
13 1
0 0.128659  1 -0.508014  2 -0.0358798  3 0.498702  4 -0.437398  5 -0.202824  6 -0.0863593  
14 1
0 0.0328539  1 0.421123  2 -0.0481213  3 0.274104  4 -0.127999  5 0.243437  6 -0.0458584  
15 1
0 -0.107729  1 0.139066  2 -0.259455  3 0.280071  4 0.328171  5 0.339752  6 -0.45712  
16 1
0 0.283525  1 -0.199182  2 -0.427187  3 -0.219742  4 -0.449795  5 0.205406  6 0.282798  
17 1
0 -0.0922359  1 -0.00190168  2 0.0153905  3 0.0861371  4 0.230055  5 0.379009  6 0.0686194  
18 1
0 0.313116  1 -0.225081  2 -0.142711  3 -0.337627  4 -0.394478  5 0.356268  6 0.292976  
19 1
0 0.738102  1 0.47006  2 -0.141313  3 0.138689  4 -0.319122  5 -0.0215758  6 -0.693455  
20 1
0 -0.53492  1 -0.160212  2 -0.0476248  3 -0.352844  4 -0.0698498  5 0.0935551  6 -0.107698  
21 1
0 -0.00107707  1 0.577556  2 0.0768003  3 0.119063  4 -0.422894  5 0.448893  6 -0.059623  
22 1
0 0.027156  1 0.0362342  2 0.347795  3 0.338242  4 0.158411  5 -0.0350208  6 0.393717  
23 1
0 -0.388513  1 0.273421  2 -0.415279  3 0.440349  4 0.160326  5 0.353297  6 -0.361582  
24 1
0 0.0729832  1 0.396102  2 0.451529  3 -0.204301  4 0.356128  5 0.561767  6 -0.206411  
25 1
0 -0.313155  1 -0.240674  2 -0.00750081  3 -0.532265  4 0.126783  5 0.248587  6 -0.217643  
26 1
0 -0.0202497  1 0.364804  2 -0.13567  3 0.403006  4 -0.117268  5 0.561124  6 0.410643  
27 1
0 -0.0172055  1 -0.0723703  2 0.169183  3 0.435166  4 0.365131  5 0.248648  6 -0.409001  
28 1
0 0.56233  1 -0.185598  2 -0.354841  3 0.0156173  4 -0.0158144  5 -0.158276  6 -0.17634  
29 1
0 -0.0943523  1 0.0381142  2 0.142779  3 -0.612185  4 -0.504751  5 -0.530586  6 -0.639948  
30 1
0 0.359244  1 0.513128  2 0.312879  3 0.0759073  4 -0.853078  5 -0.113468  6 0.161635  
31 1
0 -0.172624  1 -0.139218  2 0.0861254  3 0.0896319  4 -0.433331  5 0.272978  6 -0.108317  
32 1
0 -0.0582956  1 -0.403976  2 0.12658  3 -0.220893  4 -0.402222  5 -0.426778  6 -0.158755  
33 1
0 0.858773  1 0.661171  2 0.0706248  3 -0.139309  4 -0.361591  5 0.499495  6 0.813843  
34 1
0 0.481542  1 0.177391  2 -0.171736  3 0.0738754  4 -0.0857082  5 0.330823  6 0.279898  
35 1
0 -0.162073  1 -1.72831  2 -0.0640609  3 0.68873  4 0.106081  5 -0.835913  6 0.0943291  
36 1
0 0.175108  1 -0.00120312  2 0.150532  3 -0.107583  4 0.180194  5 0.0817546  6 0.29301  
37 1
0 -0.307078  1 -0.22548  2 -0.455789  3 -0.422978  4 0.495605  5 0.449101  6 -0.333812  
38 1
0 0.306029  1 1.28682  2 -0.0165255  3 -0.0241907  4 -0.117534  5 0.201931  6 -0.0453153  
39 1
0 -0.346499  1 -0.380801  2 -0.399766  3 -0.261888  4 0.092789  5 0.316765  6 -0.0837971  
40 1
0 0.0633365  1 -0.156407  2 0.052307  3 -0.0585739  4 -0.466947  5 -0.234621  6 -0.305552  
41 1
0 -0.00902797  1 0.571631  2 0.4283  3 0.106346  4 0.322559  5 -0.394331  6 0.14197  
42 1
0 0.231211  1 -0.671542  2 -0.32179  3 -0.688903  4 -0.119337  5 -0.0719978  6 -0.574588  
43 1
0 0.614763  1 0.250921  2 0.0995068  3 0.217656  4 -0.568122  5 0.224369  6 -0.696877  
44 1
0 0.0702083  1 0.213699  2 0.117819  3 0.0167598  4 0.350804  5 0.284628  6 -0.213273  
45 1
0 -0.637  1 -0.315609  2 -0.00794864  3 0.0542559  4 -0.720111  5 -0.220717  6 0.79406  
46 1
0 -0.528999  1 0.204396  2 0.174068  3 -0.353491  4 0.692899  5 -0.48971  6 -0.534412  
47 1
0 -0.55289  1 0.152438  2 0.0181553  3 0.0762796  4 -0.667609  5 -0.00574824  6 0.130566  
48 1
0 0.342851  1 -0.110503  2 -0.0785349  3 0.376914  4 0.627592  5 -0.295611  6 -1.26538  
49 1
0 0.458796  1 0.346915  2 -0.215789  3 0.112909  4 -0.136564  5 -0.372616  6 0.362765  
50 1
0 -0.625707  1 -0.471834  2 -0.0425666  3 0.022603  4 -0.0268026  5 0.332989  6 0.0877181  
51 1
0 0.212253  1 0.383461  2 0.166277  3 0.509749  4 -0.349067  5 -0.423831  6 -0.428739  
52 1
0 -0.2931  1 0.0199996  2 -0.173585  3 0.434303  4 0.866354  5 -0.472674  6 0.250221  
53 1
0 -0.448445  1 -0.0725266  2 -0.391056  3 -0.247235  4 -0.0802676  5 0.382827  6 -0.117974  
54 1
0 -0.30105  1 0.632692  2 -0.0354736  3 -0.170472  4 0.380347  5 0.989825  6 -1.06853  
55 1
0 -0.629954  1 0.0257402  2 0.311336  3 0.0513267  4 -0.16799  5 -0.124351  6 -0.0476813  
56 1
0 -0.0376704  1 -0.556675  2 -0.0199673  3 -0.246175  4 -0.541089  5 -0.00152353  6 -0.218418  
57 1
0 0.289151  1 0.277104  2 -0.159544  3 -0.39146  4 0.282272  5 0.0153889  6 0.0603584  
58 1
0 0.480066  1 0.0337868  2 0.303926  3 0.185831  4 -0.256319  5 0.00998818  6 -0.279271  
59 1
0 0.217801  1 -0.389114  2 0.236878  3 0.120408  4 -0.412335  5 -0.0151382  6 -0.789266  
60 1
0 0.417272  1 0.422082  2 -0.251038  3 0.339091  4 -0.544699  5 -0.148058  6 -0.0150348  
61 1
0 0.214538  1 1.25799  2 -0.157739  3 -0.118211  4 -0.140527  5 0.392231  6 0.123598  
62 1
0 0.145078  1 0.115077  2 0.272395  3 -0.298126  4 0.240473  5 0.312829  6 0.0197743  
63 1
0 -0.0105884  1 -0.138135  2 -0.408243  3 0.0409327  4 0.0118926  5 0.21365  6 -0.358485  
64 1
0 -0.302571  1 0.413431  2 -0.282799  3 0.407598  4 -0.41228  5 -0.263503  6 0.417242  
65 1
0 0.361002  1 -0.463665  2 -0.122665  3 0.0981419  4 0.50851  5 -0.298798  6 -0.674026  
66 1
0 0.463588  1 -0.0721873  2 0.34156  3 -0.244414  4 0.00104174  5 0.0791788  6 0.404118  
67 1
0 -0.226009  1 0.45672  2 -0.393299  3 -0.133934  4 -0.444259  5 -0.336767  6 0.0390111  
68 1
0 -0.197458  1 -0.936838  2 -0.326138  3 -0.0438666  4 0.0465055  5 -0.219361  6 -0.166801  
69 1
0 -0.528682  1 0.158807  2 0.0510241  3 0.129544  4 0.361142  5 0.30361  6 -1.19583  
70 1
0 0.033078  1 -0.403107  2 0.301971  3 -0.488514  4 0.253113  5 -0.441979  6 -0.105825  
71 0
0 -0.46039  7 0.189012  8 0.166399  9 0.228966  10 0.371616  11 1.06798  12 0.265618  13 0.596749  14 -0.363959  15 -0.00744206  16 0.14793  17 0.0132723  18 0.0408181  19 -0.500822  20 0.231246  21 -0.551132  22 -0.30756  23 -0.0836699  24 0.205216  25 -0.226365  26 0.10106  27 -0.196239  28 -0.567286  29 -0.567013  30 -0.615771  31 0.0966641  32 0.341767  33 -0.887393  34 -0.498787  35 -1.27342  36 -0.284303  37 0.116641  38 0.588087  39 -0.097477  40 0.0601093  41 0.115498  42 -0.483625  43 -0.719774  44 -0.18964  45 0.772508  46 0.49597  47 0.661178  48 -1.03927  49 -0.0630304  50 0.284005  51 0.393362  52 0.561394  53 0.0325897  54 0.94858  55 0.67322  56 0.48795  57 -0.0484672  58 -0.0641285  59 -0.278181  60 -0.108578  61 0.622449  62 -0.0019247  63 0.0487914  64 -0.0147412  65 -0.628994  66 -0.153846  67 0.0964588  68 -0.37202  69 0.741312  70 -0.522876