* new training set, 4 iterations, 30 mins
020501       6.02     6.02     1000     6.02
020503      47.18    41.15     2000    23.59
020506      16.06   -31.11     1000     5.35
020507      93.93    77.86     5000    23.48
020508      77.91   -16.01     3000    15.58
020509      66.80   -11.11     2000    11.13
020510      66.80     0.00        0     9.54
020513      97.27    30.47     1000    12.16
020514     184.01    86.74     2000    20.45
020516     159.22   -24.80     1000    15.92
020517     123.45   -35.77     2000    11.22
020520     135.73    12.28     2000    11.31
020521     135.73     0.00        0    10.44
* new training set, 4 iterations, 30 mins
020522      -2.10    -2.10     1000    -2.10
020523      -2.10     0.00        0    -1.05
020524     -15.81   -13.71     1000    -5.27
020529     287.53   303.34     2000    71.88
020530     341.45    53.92     1000    68.29
020531     341.45     0.00        0    56.91
020603     483.32   141.88     2000    69.05
020604     578.41    95.08     3000    72.30
020606     437.85  -140.56     3000    48.65
020610     381.53   -56.31     2000    38.15
020611     381.53     0.00        0    34.68
020612     410.86    29.33     3000    34.24
020613     410.86     0.00        0    31.60
020614     400.43   -10.43     1000    28.60
020617     394.28    -6.15     1000    26.29
020618     394.28     0.00        0    24.64
020619     394.28     0.00        0    23.19
020620     415.94    21.66     2000    23.11
* retraining in progress...(ignore results)
020621    1885.06  1885.06    38000  1885.06
020624    2680.04   794.98    48000  1340.02
020625    4567.83  1887.79    50000  1522.61
020626    5033.73   465.89   255000  1258.43
020627   10066.65  5032.92   257000  2013.33
020628   10927.33   860.68   206000  1821.22
* new training set, 4 iterations, 30 mins
020701      -1.48    -1.48     1000    -1.48
020702      85.76    87.24     3000    42.88
020703     116.81    31.04     6000    38.94
020705     153.80    36.99     1000    38.45
020708     136.78   -17.02     5000    27.36
020709     136.78     0.00        0    22.80
020711      80.47   -56.31     3000    11.50
020715      67.75   -12.72     3000     8.47
020716      96.18    28.43     3000    10.69
020717     105.66     9.48     3000    10.57
020718     105.66     0.00        0     9.61
020719     105.66     0.00        0     8.80
* retraining in progress...(ignore results)
020722      10.39    10.39     2000    10.39
020723       0.96    -9.43     1000     0.48
020724      42.40    41.45     1000    14.13
020725      74.81    32.41     1000    18.70
020726      74.81     0.00        0    14.96
020730      67.73    -7.08     1000    11.29
020731      16.72   -51.02     1000     2.39
020801      16.72     0.00     1000     2.09
020806     132.13   115.41     1000    14.68
020807     117.88   -14.25     2000    11.79
020808     164.21    46.33     1000    14.93
* new training set, 1 iteration, 30 mins
020809      -9.06    -9.06     2000    -9.06
020812      -9.06     0.00        0    -4.53
020813     -16.97    -7.91     1000    -5.66
020814     -26.75    -9.78     1000    -6.69
020816     -23.42     3.32     1000    -4.68
020819      20.39    43.81     4000     3.40
020820       9.88   -10.51     1000     1.41
020821      12.51     2.62     3000     1.56
020822     -11.15   -23.66     6000    -1.24
020823      -1.58     9.57     1000    -0.16
020826      14.14    15.72     1000     1.29
020828       8.45    -5.69     3000     0.70
020829      28.66    20.21     1000     2.20
020903      25.07    -3.60     1000     1.79
020904      25.07     0.00        0     1.67
020905      25.07     0.00        0     1.57
020906     -52.73   -77.80     2000    -3.10
020916     -60.10    -7.36     3000    -3.34
020917     -56.51     3.58     1000    -2.97
020918     -56.51     0.00        0    -2.83
020919    -105.97   -49.45     3000    -5.05
020920    -105.97     0.00        0    -4.82
020923    -105.97     0.00        0    -4.61
020924    -121.82   -15.85     1000    -5.08
020925    -124.64    -2.82     1000    -4.99
020926    -124.64     0.00        0    -4.79
020927    -127.69    -3.05     1000    -4.73
020930    -137.30    -9.61     1000    -4.90
021001    -137.30     0.00        0    -4.73
021002     -36.97   100.33     5000    -1.23
021003     -36.97     0.00        0    -1.19
021004     -65.34   -28.37     2000    -2.04
021007      -9.80    55.54     2000    -0.30
021008      -9.80     0.00        0    -0.29
021009      44.62    54.42     1000     1.27
021010      72.85    28.23     2000     2.02
021011      66.75    -6.10     2000     1.80
021014      84.46    17.72     4000     2.22
021015      85.59     1.13     3000     2.19
021016      88.46     2.87     1000     2.21
021017     103.88    15.42     2000     2.53
021018      78.73   -25.15     2000     1.87
* new training set, 1 iteration, 60 mins
021021       0.00     0.00        0     0.00
021022      65.36    65.36     2000    32.68
021023      44.82   -20.54     2000    14.94
021024      44.82     0.00        0    11.21
021025     126.73    81.90     2000    25.35
021028      55.04   -71.69     5000     9.17
021029      55.04     0.00        0     7.86
021030      55.04     0.00        0     6.88
021031      55.04     0.00        0     6.12
021101      22.64   -32.39     6000     2.26
021104      22.61    -0.04     1000     2.06
* new training set, 1 iteration, 60 mins
021105      14.65    14.65     1000    14.65
021106      13.02    -1.63     1000     6.51
021107      23.62    10.60     1000     7.87
021108      70.49    46.88     2000    17.62
021111      86.77    16.28     2000    17.35
021112      86.77     0.00        0    14.46
021113      83.56    -3.22     1000    11.94
021114      83.56     0.00     1000    10.44
021115      99.20    15.64     1000    11.02
021118      78.55   -20.64     3000     7.86
021119      78.55     0.00        0     7.14
021120     122.93    44.37     1000    10.24
021121     106.85   -16.08     2000     8.22
021122     -11.77  -118.62    12000    -0.84
021125     204.05   215.82     8000    13.60
021126     198.32    -5.73     2000    12.40
021127     202.21     3.88     1000    11.89
021129     167.00   -35.21     1000     9.28
021202     167.00     0.00        0     8.79
021203     183.70    16.70     1000     9.18
021204     202.97    19.27     1000     9.67
021205     174.42   -28.55     1000     7.93
021206     174.42     0.00        0     7.58