intercept_25_2.0.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 0.000000 -1.999309 0.000000 0.000000 -1.999304 -1.999307 0.000000 
input_scale 6 0 0.5 0.5 0
input_scale 5 0 0.5 0.5 0
input_scale 4 0 2 2 0
input_scale 3 0 2 2 0
input_scale 2 0 0.5 0.5 0
input_scale 1 0 0.1 0.1 0



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

7 1
0 -0.404247  1 -0.626287  2 -0.219763  3 -0.0630505  4 -0.110319  5 -0.413524  6 -0.484677  
8 1
0 -0.347746  1 -0.0653897  2 -0.162311  3 -0.308242  4 0.505248  5 0.702965  6 0.325011  
9 1
0 0.203357  1 -0.421991  2 0.0506628  3 -0.145294  4 -0.509131  5 -0.351533  6 0.373715  
10 1
0 -0.411476  1 0.136855  2 -0.0451292  3 -0.376112  4 -0.00718136  5 1.17497  6 -0.302813  
11 1
0 -0.438111  1 0.0703709  2 -0.0750096  3 -0.0207346  4 0.630887  5 0.131721  6 -1.99854  
12 1
0 0.0992729  1 -0.307143  2 -0.0568436  3 0.484467  4 0.166332  5 0.179377  6 -0.445087  
13 1
0 -0.146857  1 -0.701675  2 -0.176229  3 1.12372  4 -0.255519  5 -0.312409  6 -0.0954426  
14 1
0 -0.186398  1 0.664633  2 -0.0307953  3 0.120163  4 -0.0795033  5 0.214784  6 -0.139481  
15 1
0 -0.163518  1 0.115547  2 -0.265143  3 0.211243  4 0.388377  5 0.238607  6 -0.50118  
16 1
0 0.450645  1 -0.243739  2 -0.540328  3 -0.0139306  4 -0.518592  5 0.0155706  6 0.225888  
17 1
0 -0.114424  1 -0.0300738  2 0.00868373  3 0.0660733  4 0.234935  5 0.366802  6 0.11408  
18 1
0 0.192702  1 -0.31325  2 -0.0473394  3 -0.363766  4 -0.393563  5 0.344395  6 0.348499  
19 1
0 0.447048  1 -0.178803  2 -0.0622031  3 0.0770915  4 0.669512  5 -0.122437  6 -2.03568  
20 1
0 -0.481558  1 -0.268818  2 -0.0300097  3 -0.282831  4 -0.0317453  5 0.0773678  6 -0.0760255  
21 1
0 -0.788687  1 1.19694  2 -0.00509287  3 -0.286988  4 -0.29567  5 0.727367  6 0.613745  
22 1
0 0.317341  1 0.250996  2 -0.172621  3 0.470141  4 0.346166  5 0.122711  6 0.690817  
23 1
0 -0.567728  1 0.316234  2 -0.341814  3 0.237874  4 0.245305  5 0.163558  6 -0.538502  
24 1
0 0.194728  1 0.867869  2 0.582241  3 -0.107728  4 0.487262  5 0.302901  6 0.157276  
25 1
0 -0.360651  1 -0.289914  2 -0.020131  3 -0.1751  4 0.0450938  5 0.12036  6 -0.196476  
26 1
0 -0.337332  1 0.51398  2 -0.0286326  3 0.123699  4 0.000256892  5 1.15723  6 0.404067  
27 1
0 0.176929  1 0.0120847  2 -0.12335  3 0.238977  4 0.479885  5 0.448587  6 -0.596613  
28 1
0 0.335748  1 -0.333572  2 -0.321599  3 -0.829947  4 -0.0243022  5 -0.496211  6 0.25627  
29 1
0 0.0365267  1 -0.373646  2 -0.190233  3 -0.255837  4 -0.299884  5 -0.601224  6 -0.353602  
30 1
0 0.342159  1 0.0293933  2 1.80663  3 0.152766  4 -0.770469  5 -0.0388554  6 1.54694  
31 1
0 0.0650119  1 -0.116219  2 -0.0247551  3 0.224727  4 -0.429948  5 0.315408  6 0.0012609  
32 1
0 -0.0237671  1 -0.488015  2 0.170394  3 0.109102  4 -0.476503  5 -0.398247  6 -0.0840135  
33 1
0 0.983619  1 0.344722  2 0.496093  3 -0.861541  4 -0.401172  5 0.610984  6 1.30636  
34 1
0 0.310661  1 0.131079  2 -0.0938545  3 -0.226136  4 0.0352027  5 0.413793  6 0.644529  
35 1
0 -0.578261  1 -3.82476  2 0.00191359  3 0.662537  4 -0.187168  5 -0.331709  6 0.00963986  
36 1
0 -0.0761456  1 -0.0978183  2 0.104792  3 -0.0112941  4 0.120696  5 -0.0236308  6 0.317585  
37 1
0 -0.555037  1 -0.583895  2 -0.315651  3 -0.825985  4 0.752655  5 0.306913  6 -0.0531707  
38 1
0 -0.0305047  1 1.33252  2 0.0460181  3 -0.173116  4 -0.195118  5 0.931566  6 -0.633959  
39 1
0 -0.21091  1 -0.415403  2 -0.204523  3 0.0080827  4 0.0446648  5 0.219078  6 -0.0535934  
40 1
0 0.154079  1 -0.00622963  2 -0.0138526  3 -0.0651756  4 -0.46382  5 -0.197722  6 -0.36102  
41 1
0 -0.33486  1 0.765168  2 0.0227684  3 -0.229995  4 0.410189  5 -0.280472  6 0.147874  
42 1
0 0.209409  1 -1.10846  2 0.0187028  3 -0.0843466  4 -0.307084  5 -0.0105955  6 -0.781948  
43 1
0 0.992516  1 0.479365  2 -0.0565309  3 -0.109486  4 0.366057  5 0.812986  6 -1.73976  
44 1
0 -0.229986  1 0.0607859  2 0.17425  3 -0.124835  4 0.362435  5 0.248468  6 -0.146257  
45 1
0 -0.401352  1 -0.744347  2 0.0327393  3 0.533828  4 -0.485459  5 -0.101724  6 0.0345896  
46 1
0 -1.20902  1 -0.990607  2 -0.000732715  3 0.281796  4 0.0600773  5 -1.80631  6 -0.0604264  
47 1
0 -0.0907605  1 0.315867  2 -0.179079  3 0.327686  4 -0.49756  5 -0.122379  6 0.0841086  
48 1
0 -0.225022  1 -0.756938  2 -0.211109  3 1.04143  4 0.379384  5 -0.734733  6 -1.3612  
49 1
0 0.367509  1 0.545761  2 -0.11228  3 -0.0809555  4 -0.0165617  5 -0.819348  6 0.556762  
50 1
0 -0.366117  1 -1.44347  2 -0.0326058  3 0.68187  4 -0.0757375  5 0.00500238  6 -0.0107102  
51 1
0 -0.0205873  1 0.92191  2 -0.118486  3 0.080212  4 -0.236078  5 0.0286484  6 -0.834874  
52 1
0 -0.524293  1 -0.169273  2 -0.463  3 0.51413  4 0.572126  5 -0.473313  6 0.0591858  
53 1
0 -0.484531  1 -0.203104  2 -0.191119  3 -0.0302041  4 -0.168838  5 0.168977  6 -0.195015  
54 1
0 0.099089  1 0.651041  2 -0.0762441  3 -0.702817  4 0.433639  5 0.912074  6 -1.37137  
55 1
0 -0.214322  1 -0.0255902  2 0.575848  3 0.66355  4 -0.241994  5 -0.117067  6 -0.0661866  
56 1
0 0.00786534  1 -0.724196  2 0.0544146  3 -0.216907  4 -0.450192  5 -0.106536  6 -0.107172  
57 1
0 -0.106838  1 -0.0672466  2 -0.032271  3 -0.499533  4 0.265148  5 -0.117477  6 -0.0446516  
58 1
0 0.418886  1 0.156712  2 0.155074  3 -0.0232891  4 -0.291276  5 0.0641395  6 -0.284243  
59 1
0 0.54759  1 -0.394163  2 0.219786  3 -0.0435275  4 -0.355621  5 -0.0743811  6 -0.425055  
60 1
0 0.240574  1 0.556311  2 -0.117872  3 0.179977  4 -0.516889  5 -0.146629  6 -0.0903673  
61 1
0 -0.233299  1 0.70732  2 -0.363325  3 -0.146805  4 0.00678395  5 0.420637  6 0.639029  
62 1
0 -0.0806949  1 -0.18173  2 0.250291  3 -0.341676  4 0.243008  5 0.220559  6 0.0468934  
63 1
0 0.0441311  1 -0.0839599  2 -1.35916  3 0.462915  4 0.213402  5 0.0049723  6 -1.15245  
64 1
0 -0.235143  1 0.487532  2 -0.147098  3 0.317783  4 -0.381366  5 -0.302024  6 0.363747  
65 1
0 0.133437  1 -1.27533  2 0.0688307  3 0.0650914  4 0.104106  5 -1.25324  6 -1.3  
66 1
0 0.238903  1 -0.21447  2 0.261326  3 -0.364599  4 -0.0291138  5 0.0777426  6 0.417398  
67 1
0 -0.357814  1 1.25608  2 -0.0339291  3 -0.573958  4 -0.256919  5 -0.235073  6 0.383628  
68 1
0 0.022562  1 -0.336156  2 -0.491809  3 -0.216557  4 0.307484  5 -0.0942464  6 -0.306085  
69 1
0 -0.884853  1 -0.875236  2 0.0246486  3 0.0083954  4 0.177535  5 -1.20702  6 -1.97833  
70 1
0 -0.326058  1 -0.0340645  2 0.809484  3 -0.632113  4 0.228056  5 -0.0150897  6 0.68241  
71 0
0 0.336443  7 -0.263057  8 0.360635  9 0.255709  10 0.553  11 1.32886  12 0.0924956  13 0.851997  14 -0.3109  15 -0.106924  16 0.240912  17 0.0523148  18 -0.0463822  19 -1.27724  20 0.0668519  21 -0.883657  22 -0.414736  23 -0.175079  24 0.454941  25 -0.141755  26 0.414256  27 -0.269717  28 -0.470526  29 -0.190055  30 -0.450404  31 -0.136628  32 0.23662  33 -0.717018  34 -0.28928  35 -2.11525  36 -0.074919  37 0.579998  38 0.725575  39 -0.0873316  40 -0.0824661  41 0.175255  42 -0.348437  43 -1.59619  44 -0.00421373  45 0.471186  46 1.45375  47 0.14626  48 -1.05784  49 -0.387588  50 0.960527  51 0.278165  52 0.38979  53 -0.0975647  54 1.21801  55 0.446228  56 0.317401  57 0.157526  58 -0.082744  59 -0.334245  60 -0.102452  61 0.360624  62 0.0478316  63 -0.639293  64 0.107194  65 -1.07667  66 0.0551698  67 0.463166  68 -0.157118  69 1.4859  70 -0.486568