----------------------------------
End of iteration 2
MSE of inverse model:
<1:3 3.59773e-007 3.80145e-007 8.74651e-008>
var of data for inverse model:
<1:3 0.000160441 3.09588e-005 7.42658e-006>
nMSE of inverse model:
<1:3 0.0022424 0.0122791 0.0117773>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 102
Inverse model rfs for output 1: 102
Inverse model rfs for output 2: 102
----------------------------------
End of iteration 3
MSE of inverse model:
<1:3 2.00567e-008 5.00893e-008 1.20598e-008>
var of data for inverse model:
<1:3 0.000160441 3.09588e-005 7.42658e-006>
nMSE of inverse model:
<1:3 0.00012501 0.00161794 0.00162387>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 102
Inverse model rfs for output 1: 102
Inverse model rfs for output 2: 102
----------------------------------
End of iteration 4
MSE of inverse model:
<1:3 0.000928653 3.7321e-006 9.76132e-007>
var of data for inverse model:
<1:3 0.00027689 9.6845e-005 1.96137e-005>
nMSE of inverse model:
<1:3 3.35387 0.0385369 0.0497678>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 114
Inverse model rfs for output 1: 114
Inverse model rfs for output 2: 114
----------------------------------
End of iteration 5
MSE of inverse model:
<1:3 8.9314e-007 2.23526e-006 4.80576e-007>
var of data for inverse model:
<1:3 0.000157231 8.02056e-005 1.6248e-005>
nMSE of inverse model:
<1:3 0.00568044 0.0278691 0.0295775>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 114
Inverse model rfs for output 1: 114
Inverse model rfs for output 2: 114
----------------------------------
End of iteration 6
MSE of inverse model:
<1:3 4.67173e-007 1.41337e-006 2.97415e-007>
var of data for inverse model:
<1:3 0.000156709 6.73767e-005 1.36853e-005>
nMSE of inverse model:
<1:3 0.00298116 0.0209771 0.0217325>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 114
Inverse model rfs for output 1: 114
Inverse model rfs for output 2: 114
----------------------------------
End of iteration 7
MSE of inverse model:
<1:3 3.83246e-007 9.06162e-007 1.98522e-007>
var of data for inverse model:
<1:3 0.000156541 6.02238e-005 1.22596e-005>
nMSE of inverse model:
<1:3 0.00244822 0.0150466 0.0161931>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 8
MSE of inverse model:
<1:3 2.6566e-007 6.55296e-007 1.31453e-007>
var of data for inverse model:
<1:3 0.000156197 5.59969e-005 1.14156e-005>
nMSE of inverse model:
<1:3 0.00170081 0.0117024 0.0115152>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 9
MSE of inverse model:
<1:3 2.34909e-007 4.51234e-007 9.09614e-008>
var of data for inverse model:
<1:3 0.000155992 5.22251e-005 1.06625e-005>
nMSE of inverse model:
<1:3 0.0015059 0.00864018 0.00853098>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 10
MSE of inverse model:
<1:3 2.06584e-007 3.45348e-007 6.93421e-008>
var of data for inverse model:
<1:3 0.000155911 4.97772e-005 1.01742e-005>
nMSE of inverse model:
<1:3 0.00132501 0.00693786 0.00681551>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 11
MSE of inverse model:
<1:3 1.87565e-007 3.09614e-007 6.03773e-008>
var of data for inverse model:
<1:3 0.000155811 4.81187e-005 9.84339e-006>
nMSE of inverse model:
<1:3 0.0012038 0.00643438 0.00613379>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 12
MSE of inverse model:
<1:3 1.70496e-007 2.39389e-007 4.32528e-008>
var of data for inverse model:
<1:3 0.000155705 4.71292e-005 9.6462e-006>
nMSE of inverse model:
<1:3 0.00109499 0.00507943 0.00448392>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 13
MSE of inverse model:
<1:3 1.56142e-007 2.10949e-007 3.76768e-008>
var of data for inverse model:
<1:3 0.000155658 4.64056e-005 9.50213e-006>
nMSE of inverse model:
<1:3 0.0010031 0.00454575 0.00396509>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 14
MSE of inverse model:
<1:3 1.42876e-007 1.79864e-007 3.42168e-008>
var of data for inverse model:
<1:3 0.0001557 4.59038e-005 9.40166e-006>
nMSE of inverse model:
<1:3 0.000917634 0.00391828 0.00363945>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 15
MSE of inverse model:
<1:3 1.33547e-007 1.65099e-007 2.92264e-008>
var of data for inverse model:
<1:3 0.000155554 4.54492e-005 9.31182e-006>
nMSE of inverse model:
<1:3 0.000858526 0.00363261 0.00313864>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 16
MSE of inverse model:
<1:3 1.25648e-007 1.43997e-007 2.53311e-008>
var of data for inverse model:
<1:3 0.000155488 4.51177e-005 9.24617e-006>
nMSE of inverse model:
<1:3 0.00080809 0.0031916 0.00273963>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 17
MSE of inverse model:
<1:3 1.18134e-007 1.26035e-007 2.23894e-008>
var of data for inverse model:
<1:3 0.000155401 4.4844e-005 9.19114e-006>
nMSE of inverse model:
<1:3 0.000760191 0.00281053 0.00243598>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 18
MSE of inverse model:
<1:3 1.10767e-007 1.08183e-007 1.93377e-008>
var of data for inverse model:
<1:3 0.000155318 4.46015e-005 9.1427e-006>
nMSE of inverse model:
<1:3 0.00071316 0.00242555 0.0021151>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 19
MSE of inverse model:
<1:3 1.04165e-007 9.15169e-008 1.72472e-008>
var of data for inverse model:
<1:3 0.000155242 4.43954e-005 9.10159e-006>
nMSE of inverse model:
<1:3 0.000670982 0.00206141 0.00189497>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
----------------------------------
End of iteration 20
MSE of inverse model:
<1:3 9.8075e-008 7.89996e-008 1.55936e-008>
var of data for inverse model:
<1:3 0.000155165 4.42257e-005 9.06752e-006>
nMSE of inverse model:
<1:3 0.00063207 0.00178628 0.00171972>
no response of inverse model:
<1:3 0 0 0>
Inverse model rfs for output 0: 115
Inverse model rfs for output 1: 115
Inverse model rfs for output 2: 115
