----------------------------------
End of iteration 2
MSE of inverse model:
<1:3 8.7796e-007 1.11322e-006 2.87995e-007>
var of data for inverse model:
<1:3 0.000438103 8.64936e-005 2.65886e-005>
nMSE of inverse model:
<1:3 0.002004 0.0128706 0.0108316>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 103
Inverse model rfs for output 1: 103
Inverse model rfs for output 2: 103
----------------------------------
End of iteration 3
MSE of inverse model:
<1:3 5.46837e-008 1.47764e-007 3.86234e-008>
var of data for inverse model:
<1:3 0.000438103 8.64936e-005 2.65886e-005>
nMSE of inverse model:
<1:3 0.000124819 0.00170838 0.00145263>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 103
Inverse model rfs for output 1: 103
Inverse model rfs for output 2: 103
----------------------------------
End of iteration 4
MSE of inverse model:
<1:3 0.00258208 1.36036e-005 3.47887e-006>
var of data for inverse model:
<1:3 0.000742965 0.000492144 0.000116695>
nMSE of inverse model:
<1:3 3.47538 0.0276416 0.0298115>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 201
Inverse model rfs for output 1: 201
Inverse model rfs for output 2: 201
----------------------------------
End of iteration 5
MSE of inverse model:
<1:3 6.15738e-007 1.33345e-006 3.3069e-007>
var of data for inverse model:
<1:3 0.000426041 0.000229791 5.51932e-005>
nMSE of inverse model:
<1:3 0.00144526 0.00580287 0.0059915>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 6
MSE of inverse model:
<1:3 2.41714e-007 8.47973e-007 1.96733e-007>
var of data for inverse model:
<1:3 0.000423066 0.000167976 4.06562e-005>
nMSE of inverse model:
<1:3 0.000571338 0.00504817 0.00483894>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 7
MSE of inverse model:
<1:3 1.63346e-007 7.86175e-007 1.79603e-007>
var of data for inverse model:
<1:3 0.00042247 0.000150727 3.65999e-005>
nMSE of inverse model:
<1:3 0.000386646 0.00521591 0.00490719>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 8
MSE of inverse model:
<1:3 1.54738e-007 7.13029e-007 1.60549e-007>
var of data for inverse model:
<1:3 0.000422299 0.000141158 3.43567e-005>
nMSE of inverse model:
<1:3 0.000366419 0.0050513 0.00467301>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 9
MSE of inverse model:
<1:3 1.43364e-007 5.78867e-007 1.33879e-007>
var of data for inverse model:
<1:3 0.000422043 0.000137486 3.35015e-005>
nMSE of inverse model:
<1:3 0.000339691 0.00421038 0.00399621>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 10
MSE of inverse model:
<1:3 1.16903e-007 5.19931e-007 1.24866e-007>
var of data for inverse model:
<1:3 0.000422348 0.000131823 3.21609e-005>
nMSE of inverse model:
<1:3 0.000276794 0.00394415 0.00388254>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 11
MSE of inverse model:
<1:3 1.1299e-007 4.39144e-007 1.0404e-007>
var of data for inverse model:
<1:3 0.000422044 0.000129264 3.15692e-005>
nMSE of inverse model:
<1:3 0.00026772 0.00339726 0.00329563>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 12
MSE of inverse model:
<1:3 1.0071e-007 3.91193e-007 9.46095e-008>
var of data for inverse model:
<1:3 0.000422467 0.000127016 3.10415e-005>
nMSE of inverse model:
<1:3 0.000238386 0.00307988 0.00304784>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 13
MSE of inverse model:
<1:3 8.78247e-008 3.64063e-007 9.07473e-008>
var of data for inverse model:
<1:3 0.000422285 0.000125948 3.0792e-005>
nMSE of inverse model:
<1:3 0.000207975 0.00289059 0.00294711>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 14
MSE of inverse model:
<1:3 7.26447e-008 3.27441e-007 7.93409e-008>
var of data for inverse model:
<1:3 0.000422318 0.000125455 3.06769e-005>
nMSE of inverse model:
<1:3 0.000172014 0.00261003 0.00258634>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 15
MSE of inverse model:
<1:3 6.08396e-008 2.9188e-007 7.17216e-008>
var of data for inverse model:
<1:3 0.000422362 0.000124959 3.05559e-005>
nMSE of inverse model:
<1:3 0.000144046 0.00233581 0.00234723>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 16
MSE of inverse model:
<1:3 5.15855e-008 2.65606e-007 6.54338e-008>
var of data for inverse model:
<1:3 0.000422296 0.000124626 3.04763e-005>
nMSE of inverse model:
<1:3 0.000122155 0.00213122 0.00214704>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 17
MSE of inverse model:
<1:3 4.46928e-008 2.42686e-007 5.92125e-008>
var of data for inverse model:
<1:3 0.000422274 0.000124362 3.04127e-005>
nMSE of inverse model:
<1:3 0.000105838 0.00195145 0.00194697>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 18
MSE of inverse model:
<1:3 4.09129e-008 2.18995e-007 5.49609e-008>
var of data for inverse model:
<1:3 0.000422233 0.000124161 3.03639e-005>
nMSE of inverse model:
<1:3 9.68964e-005 0.0017638 0.00181008>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 19
MSE of inverse model:
<1:3 3.63483e-008 1.94142e-007 4.68594e-008>
var of data for inverse model:
<1:3 0.000422128 0.000123942 3.03061e-005>
nMSE of inverse model:
<1:3 8.61074e-005 0.0015664 0.0015462>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
----------------------------------
End of iteration 20
MSE of inverse model:
<1:3 3.33595e-008 1.7339e-007 4.1483e-008>
var of data for inverse model:
<1:3 0.000422149 0.000123799 3.02714e-005>
nMSE of inverse model:
<1:3 7.90231e-005 0.00140058 0.00137037>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 202
Inverse model rfs for output 1: 202
Inverse model rfs for output 2: 202
