* new training set, 4 iterations, 30 mins
020501     103.60   103.60     6000   103.60
020503     346.51   242.92    10000   173.26
020506     481.01   134.50    10000   160.34
020507     754.65   273.64    16000   188.66
020508     738.27   -16.38     8000   147.65
020509     648.72   -89.55    14000   108.12
020510     780.32   131.60     6000   111.47
020513     697.38   -82.94    14000    87.17
020514    1320.05   622.67    20000   146.67
020516    1470.54   150.50     7000   147.05
020517    1437.04   -33.50     5000   130.64
020520    1531.17    94.13     9000   127.60
020521    1598.70    67.54     3000   122.98
* new training set, 4 iterations, 30 mins
020522     106.22   106.22    10000   106.22
020523     195.51    89.29     4000    97.76
020524     295.85   100.34     5000    98.62
020529     796.72   500.87     3000   199.18
020530     951.09   154.36     5000   190.22
020531    1017.92    66.83     2000   169.65
020603    1261.41   243.50     3000   180.20
020604    1703.82   442.41     7000   212.98
020606    1421.82  -282.00     8000   157.98
020610    1186.49  -235.33     3000   118.65
020611    1155.56   -30.92     7000   105.05
020612    1664.96   509.39    10000   138.75
020613    1692.43    27.47     3000   130.19
020614    1740.44    48.02     7000   124.32
020617    1824.47    84.03     5000   121.63
020618    1892.79    68.32     7000   118.30
020619    2034.13   141.34     8000   119.65
020620    2068.63    34.50     7000   114.92
* retraining in progress...(ignore results)
020621    1800.60  1800.60    37000  1800.60
020624    2496.04   695.44    48000  1248.02
020625    4354.42  1858.38    40000  1451.47
020626    5492.17  1137.75    59000  1373.04
020627    8430.39  2938.22    45000  1686.08
020628    8953.68   523.29    56000  1492.28
* new training set, 4 iterations, 30 mins
020701     235.14   235.14    10000   235.14
020702     443.04   207.91    13000   221.52
020703     851.83   408.79    17000   283.94
020705    1201.21   349.38     8000   300.30
020708    1672.49   471.28    14000   334.50
020709    1699.86    27.37     5000   283.31
020711    1754.22    54.35     7000   250.60
020715    1789.38    35.17    10000   223.67
020716    1894.35   104.97     8000   210.48
020717    2106.44   212.09    10000   210.64
020718    2108.10     1.66     4000   191.65
020719    2186.93    78.83     4000   182.24
* retraining in progress...(ignore results)
020722     275.77   275.77    29000   275.77
020723     390.43   114.66     6000   195.22
020724     513.32   122.89    10000   171.11
020725     430.39   -82.93     6000   107.60
020726     457.16    26.77     4000    91.43
020730     475.43    18.27     9000    79.24
020731     495.86    20.43     5000    70.84
020801     699.56   203.71     4000    87.45
020806     677.83   -21.73    11000    75.31
020807     883.78   205.95    15000    88.38
020808    1162.42   278.63    11000   105.67
* new training set, 1 iteration, 30 mins
020809      13.87    13.87     8000    13.87
020812      62.90    49.03     2000    31.45
020813      65.76     2.86     5000    21.92
020814     126.78    61.02     9000    31.69
020816     311.27   184.49     8000    62.25
020819     438.18   126.91    13000    73.03
020820     677.81   239.64     7000    96.83
020821    1099.75   421.94    12000   137.47
020822    1736.88   637.13    20000   192.99
020823    1861.86   124.97     6000   186.19
020826    2032.63   170.77    10000   184.78
020828    1997.59   -35.04     7000   166.47
020829    2322.03   324.44    16000   178.62
020903    2280.78   -41.25     2000   162.91
020904    2245.76   -35.03     3000   149.72
020905    2243.85    -1.91     3000   140.24
020906    2289.62    45.77     6000   134.68
020916    2260.77   -28.85     8000   125.60
020917    2214.72   -46.05     8000   116.56
020918    2260.03    45.31     5000   113.00
020919    2309.68    49.65    13000   109.98
020920    2383.46    73.78     3000   108.34
020923    2383.46     0.00        0   103.63
020924    2436.96    53.50    11000   101.54
020925    2552.79   115.83     4000   102.11
020926    2589.52    36.73     4000    99.60
020927    2677.58    88.06     3000    99.17
020930    2629.28   -48.30     3000    93.90
021001    2640.20    10.92     4000    91.04
021002    2930.70   290.50    11000    97.69
021003    3057.19   126.49     6000    98.62
021004    3001.96   -55.24     5000    93.81
021007    3398.71   396.76    11000   102.99
021008    3505.39   106.67     3000   103.10
021009    3627.48   122.10     7000   103.64
021010    3709.39    81.91    11000   103.04
021011    3667.28   -42.11     5000    99.12
021014    3656.87   -10.41    12000    96.23
021015    3641.33   -15.54    26000    93.37
021016    3680.40    39.07     7000    92.01
021017    4040.04   359.64    11000    98.54
021018    4029.48   -10.56     4000    95.94
* new training set, 1 iteration, 60 mins
021021     114.05   114.05     3000   114.05
021022     362.46   248.41    11000   181.23
021023     293.66   -68.80     8000    97.89
021024     305.01    11.35     6000    76.25
021025     339.14    34.13    10000    67.83
021028     447.67   108.53    15000    74.61
021029     487.18    39.51     3000    69.60
021030     591.09   103.91     8000    73.89
021031     599.44     8.36     3000    66.60
021101     305.28  -294.16    15000    30.53
021104     303.74    -1.54     5000    27.61
* new training set, 1 iteration, 60 mins
021105     123.18   123.18    12000   123.18
021106     575.18   452.01     7000   287.59
021107     573.07    -2.12     8000   191.02
021108     688.83   115.76    10000   172.21
021111     735.37    46.54     6000   147.07
021112     746.73    11.36    24000   124.45
021113     631.44  -115.29     9000    90.21
021114     667.00    35.56     6000    83.38
021115     599.79   -67.21     7000    66.64
021118     768.25   168.47     7000    76.83
021119     729.84   -38.41     5000    66.35
021120     856.78   126.94     8000    71.40
021121     999.31   142.53    25000    76.87
021122     962.96   -36.36    16000    68.78
021125    1041.29    78.33    13000    69.42
021126    1076.20    34.91     5000    67.26
021127    1218.22   142.03     9000    71.66
021129    1274.25    56.03    10000    70.79
021202    1062.61  -211.64     9000    55.93
021203    1223.70   161.09    27000    61.19
021204    1380.58   156.88     7000    65.74
021205    1660.09   279.51     7000    75.46
021206    1822.44   162.35     7000    79.24