sin2.pat

径向基RBF多维空间插值算法

No. of patterns     : 100.000000
No. of input units  : 1.000000
No. of output units : 1.000000

# 1.000000
0.525972
0.868389

# 2.000000
0.728417
0.993513

# 3.000000
0.266314
0.507800

# 4.000000
0.783484
0.999993

# 5.000000
0.468044
0.805245

# 6.000000
0.196997
0.383880

# 7.000000
0.447177
0.779805

# 8.000000
0.728440
0.993519

# 9.000000
0.966093
0.935406

# 10.000000
0.756841
0.998369

# 11.000000
0.466057
0.802882

# 12.000000
0.868966
0.986065

# 13.000000
0.134039
0.264879

# 14.000000
0.846053
0.992651

# 15.000000
0.018088
0.036167

# 16.000000
0.940855
0.952055

# 17.000000
0.670082
0.973522

# 18.000000
0.799972
0.999575

# 19.000000
0.143217
0.282533

# 20.000000
0.610460
0.939415

# 21.000000
0.908283
0.969951

# 22.000000
0.774415
0.999759

# 23.000000
0.366065
0.668455

# 24.000000
0.944288
0.949932

# 25.000000
0.884822
0.980295

# 26.000000
0.445171
0.777287

# 27.000000
0.163028
0.320310

# 28.000000
0.424817
0.751039

# 29.000000
0.479854
0.819024

# 30.000000
0.031128
0.062216

# 31.000000
0.608430
0.938016

# 32.000000
0.792261
0.999906

# 33.000000
0.182497
0.356943

# 34.000000
0.525121
0.867544

# 35.000000
0.898759
0.974409

# 36.000000
0.308790
0.579064

# 37.000000
0.942626
0.950965

# 38.000000
0.388025
0.700465

# 39.000000
0.930512
0.958179

# 40.000000
0.911384
0.968423

# 41.000000
0.337718
0.625238

# 42.000000
0.532812
0.875091

# 43.000000
0.702077
0.986147

# 44.000000
0.971011
0.931884

# 45.000000
0.768085
0.999401

# 46.000000
0.751941
0.997762

# 47.000000
0.090864
0.180730

# 48.000000
0.853967
0.990611

# 49.000000
0.174644
0.342230

# 50.000000
0.019770
0.039530

# 51.000000
0.419054
0.743378

# 52.000000
0.296370
0.558636

# 53.000000
0.378232
0.686355

# 54.000000
0.418716
0.742927

# 55.000000
0.138448
0.273372

# 56.000000
0.380847
0.690148

# 57.000000
0.299780
0.564279

# 58.000000
0.021012
0.042012

# 59.000000
0.238803
0.459654

# 60.000000
0.037109
0.074151

# 61.000000
0.221059
0.427855

# 62.000000
0.525435
0.867855

# 63.000000
0.494525
0.835505

# 64.000000
0.882522
0.981193

# 65.000000
0.773830
0.999732

# 66.000000
0.059002
0.117731

# 67.000000
0.119801
0.237317

# 68.000000
0.547801
0.889204

# 69.000000
0.341916
0.631768

# 70.000000
0.456812
0.791723

# 71.000000
0.588122
0.923169

# 72.000000
0.585150
0.920868

# 73.000000
0.069927
0.139399

# 74.000000
0.818931
0.997752

# 75.000000
0.403161
0.721746

# 76.000000
0.585483
0.921127

# 77.000000
0.191161
0.373076

# 78.000000
0.892277
0.977241

# 79.000000
0.176332
0.345399

# 80.000000
0.207704
0.403562

# 81.000000
0.115748
0.229434

# 82.000000
0.158915
0.312505

# 83.000000
0.992644
0.915321

# 84.000000
0.681571
0.978517

# 85.000000
0.811796
0.998607

# 86.000000
0.642215
0.959277

# 87.000000
0.329342
0.612077

# 88.000000
0.737553
0.995425

# 89.000000
0.823483
0.997101

# 90.000000
0.721261
0.991784

# 91.000000
0.657982
0.967706

# 92.000000
0.358774
0.657540

# 93.000000
0.610365
0.939350

# 94.000000
0.415004
0.737936

# 95.000000
0.814954
0.998253

# 96.000000
0.773965
0.999739

# 97.000000
0.274311
0.521512

# 98.000000
0.044742
0.089365

# 99.000000
0.601041
0.932792

# 100.000000
0.514091
0.856362