matlab求拟合函数参数,用matlab拟合求参数 - 计算模拟 - 小木虫 - 学术 科研 互动社区...
公式为i=a1*exp(-r12*t^0.5-t/t12)+b1*exp(-r1*t^0.5-t/t1)-c*exp(-t/t21);其中a1,r12,t12,b1,r1,t1,c,t21;为参数,参数均要求大于等于0请问怎么用matlab编程进行运算?下面是数据,数据点很多,有1001组数据:ti0.0042.850.0141.980.02 ...
公式为
i=a1*exp(-r12*t^0.5-t/t12)+b1*exp(-r1*t^0.5-t/t1)-c*exp(-t/t21);
其中a1,r12,t12,b1,r1,t1,c,t21; 为参数,参数均要求大于等于0
请问怎么用matlab编程进行运算?下面是数据,数据点很多,有1001组
数据:
t i
0.00 42.85
0.01 41.98
0.02 41.08
0.03 40.24
0.04 39.41
0.05 39.16
0.06 39.09
0.07 38.95
0.08 38.63
0.09 37.71
0.10 36.54
0.11 35.65
0.12 35.12
0.13 35.08
0.14 35.20
0.15 34.78
0.16 34.53
0.17 34.57
0.18 34.82
0.19 34.93
0.20 35.04
0.21 34.69
0.22 33.79
0.23 32.62
0.24 31.70
0.25 30.80
0.26 30.32
0.27 30.01
0.28 29.41
0.29 28.73
0.30 28.83
0.31 29.18
0.32 29.29
0.33 29.05
0.34 28.50
0.35 27.83
0.36 27.45
0.37 27.09
0.38 26.53
0.39 25.76
0.40 25.31
0.41 24.80
0.42 24.06
0.43 23.57
0.44 23.39
0.45 23.80
0.46 24.91
0.47 26.01
0.48 26.59
0.49 26.52
0.50 25.68
0.51 24.50
0.52 23.42
0.53 22.54
0.54 21.86
0.55 21.69
0.56 22.14
0.57 22.87
0.58 23.68
0.59 23.74
0.60 22.90
0.61 21.67
0.62 20.87
0.63 20.57
0.64 20.74
0.65 20.69
0.66 20.15
0.67 19.30
0.68 18.55
0.69 18.07
0.70 18.21
0.71 18.57
0.72 18.76
0.73 18.83
0.74 18.67
0.75 18.09
0.76 17.45
0.77 16.96
0.78 16.72
0.79 16.98
0.80 17.30
0.81 17.50
0.82 17.75
0.83 17.77
0.84 17.71
0.85 17.80
0.86 17.70
0.87 17.42
0.88 17.25
0.89 16.74
0.90 15.82
0.91 14.83
0.92 14.24
0.93 13.94
0.94 14.15
0.95 14.53
0.96 14.33
0.97 13.77
0.98 13.14
0.99 12.59
1.00 12.26
1.01 12.09
1.02 12.08
1.03 12.35
1.04 12.59
1.05 12.64
1.06 12.40
1.07 12.10
1.08 12.10
1.09 12.27
1.10 12.59
1.11 12.79
1.12 12.62
1.13 12.41
1.14 12.28
1.15 11.98
1.16 11.77
1.17 11.93
1.18 12.16
1.19 12.47
1.20 12.40
1.21 11.69
1.22 10.47
1.23 9.560
1.24 9.107
1.25 8.978
1.26 8.849
1.27 8.743
1.28 8.384
1.29 8.203
1.30 8.384
1.31 8.682
1.32 8.936
1.33 9.341
1.34 9.578
1.35 9.607
1.36 9.444
1.37 9.176
1.38 8.899
1.39 8.881
1.40 8.929
1.41 8.935
1.42 8.937
1.43 9.235
1.44 9.557
1.45 9.706
1.46 9.421
1.47 9.087
1.48 8.771
1.49 8.665
1.50 8.391
1.51 7.880
1.52 7.049
1.53 6.607
1.54 6.570
1.55 6.804
1.56 6.999
1.57 7.138
1.58 6.922
1.59 6.826
1.60 6.728
1.61 6.657
1.62 6.521
1.63 6.566
1.64 6.642
1.65 6.932
1.66 7.055
1.67 7.101
1.68 6.956
1.69 6.853
1.70 6.747
1.71 6.726
1.72 6.685
1.73 6.693
1.74 6.698
1.75 6.896
1.76 7.202
1.77 7.176
1.78 6.866
1.79 6.497
1.80 6.183
1.81 6.198
1.82 6.470
1.83 6.670
1.84 6.962
1.85 7.071
1.86 6.924
1.87 6.544
1.88 5.843
1.89 5.085
1.90 4.511
1.91 4.155
1.92 4.117
1.93 4.338
1.94 4.685
1.95 4.772
1.96 4.585
1.97 4.346
1.98 4.138
1.99 4.014
2.00 4.192
2.01 4.222
2.02 4.196
2.03 4.064
2.04 3.958
2.05 3.914
2.06 4.032
2.07 4.126
2.08 4.324
2.09 4.546
2.10 4.907
2.11 5.085
2.12 4.955
2.13 4.593
2.14 4.281
2.15 3.981
2.16 4.053
2.17 4.271
2.18 4.603
2.19 4.916
2.20 5.249
2.21 5.128
2.22 4.699
2.23 4.037
2.24 3.648
2.25 3.492
2.26 3.747
2.27 3.913
2.28 3.702
2.29 3.315
2.30 3.261
2.31 3.388
2.32 3.793
2.33 4.159
2.34 4.367
2.35 4.456
2.36 4.347
2.37 4.039
2.38 3.657
2.39 3.218
2.40 3.000
2.41 2.923
2.42 2.954
2.43 3.104
2.44 3.465
2.45 3.740
2.46 3.960
2.47 3.877
2.48 3.592
2.49 3.127
2.50 2.832
2.51 2.662
2.52 2.751
2.53 2.976
2.54 3.251
2.55 3.324
2.56 3.246
2.57 3.057
2.58 2.912
2.59 2.832
2.60 2.669
2.61 2.456
2.62 2.278
2.63 2.149
2.64 2.092
2.65 2.058
2.66 1.940
2.67 1.782
2.68 1.653
2.69 1.687
2.70 1.797
2.71 1.963
2.72 2.141
2.73 2.251
2.74 2.142
2.75 2.078
2.76 2.074
2.77 2.119
2.78 2.290
2.79 2.502
2.80 2.344
2.81 2.169
2.82 1.957
2.83 1.875
2.84 2.043
2.85 2.180
2.86 2.127
2.87 2.108
2.88 1.931
2.89 1.866
2.90 1.790
2.91 1.702
2.92 1.606
2.93 1.614
2.94 1.800
2.95 2.185
2.96 2.481
2.97 2.741
2.98 2.807
2.99 2.842
3.00 2.934
3.01 2.993
3.02 2.880
3.03 2.634
3.04 2.236
3.05 1.876
3.06 1.582
3.07 1.448
3.08 1.297
3.09 1.326
3.10 1.383
3.11 1.378
3.12 1.318
3.13 1.334
3.14 1.259
3.15 1.344
3.16 1.459
3.17 1.588
3.18 1.584
3.19 1.596
3.20 1.480
3.21 1.427
3.22 1.370
3.23 1.497
3.24 1.520
3.25 1.478
3.26 1.361
3.27 1.240
3.28 1.025
3.29 1.087
3.30 1.140
3.31 1.219
3.32 1.482
3.33 1.765
3.34 1.988
3.35 2.162
3.36 2.017
3.37 1.806
3.38 1.658
3.39 1.634
3.40 1.672
3.41 1.673
3.42 1.574
3.43 1.356
3.44 1.173
3.45 1.140
3.46 1.237
3.47 1.505
3.48 1.823
3.49 1.944
3.50 1.947
3.51 1.837
3.52 1.796
3.53 1.900
3.54 2.066
3.55 2.146
3.56 2.089
3.57 1.939
3.58 1.823
3.59 1.624
3.60 1.403
3.61 1.232
3.62 1.211
3.63 1.152
3.64 1.114
3.65 1.025
3.66 1.065
3.67 1.104
3.68 1.225
3.69 1.216
3.70 1.106
3.71 0.961
3.72 0.971
3.73 0.870
3.74 0.948
3.75 1.143
3.76 1.224
3.77 1.135
3.78 1.178
3.79 1.115
3.80 1.225
3.81 1.372
3.82 1.431
3.83 1.502
3.84 1.757
3.85 1.876
3.86 1.991
3.87 1.824
3.88 1.572
3.89 1.269
3.90 1.044
3.91 0.851
3.92 0.758
3.93 0.666
3.94 0.714
3.95 0.736
3.96 0.778
3.97 0.837
3.98 0.963
3.99 1.105
4.00 1.219
4.01 1.237
4.02 1.280
4.03 1.286
4.04 1.333
4.05 1.257
4.06 1.203
4.07 1.163
4.08 1.284
4.09 1.377
4.10 1.358
4.11 1.082
4.12 0.924
4.13 0.866
4.14 0.855
4.15 0.858
4.16 0.895
4.17 0.776
4.18 0.679
4.19 0.663
4.20 0.758
4.21 0.794
4.22 0.953
4.23 1.126
4.24 1.202
4.25 1.401
4.26 1.826
4.27 1.991
4.28 2.031
4.29 1.962
4.30 1.659
4.31 1.445
4.32 1.347
4.33 1.136
4.34 1.057
4.35 1.019
4.36 1.022
4.37 1.107
4.38 1.071
4.39 1.019
4.40 1.045
4.41 1.081
4.42 1.116
4.43 1.210
4.44 1.290
4.45 1.416
4.46 1.450
4.47 1.369
4.48 1.092
4.49 0.907
4.50 0.916
4.51 1.061
4.52 1.266
4.53 1.495
4.54 1.544
4.55 1.492
4.56 1.340
4.57 1.208
4.58 1.084
4.59 0.929
4.60 0.699
4.61 0.580
4.62 0.526
4.63 0.600
4.64 0.706
4.65 0.812
4.66 0.767
4.67 0.715
4.68 0.717
4.69 0.772
4.70 0.705
4.71 0.776
4.72 0.732
4.73 0.633
4.74 0.570
4.75 0.667
4.76 0.556
4.77 0.583
4.78 0.566
4.79 0.520
4.80 0.574
4.81 0.864
4.82 1.026
4.83 1.271
4.84 1.262
4.85 1.118
4.86 0.930
4.87 0.795
4.88 0.670
4.89 0.646
4.90 0.554
4.91 0.570
4.92 0.569
4.93 0.643
4.94 0.654
4.95 0.657
4.96 0.646
4.97 0.736
4.98 0.760
4.99 0.856
5.00 0.826
5.01 0.791
5.02 0.712
5.03 0.699
5.04 0.645
5.05 0.672
5.06 0.671
5.07 0.635
5.08 0.526
5.09 0.458
5.10 0.344
5.11 0.346
5.12 0.489
5.13 0.776
5.14 0.968
5.15 1.089
5.16 1.043
5.17 0.859
5.18 0.619
5.19 0.587
5.20 0.697
5.21 0.851
5.22 1.074
5.23 1.119
5.24 0.932
5.25 0.792
5.26 0.792
5.27 0.668
5.28 0.742
5.29 0.836
5.30 1.072
5.31 1.482
5.32 1.893
5.33 2.080
5.34 2.156
5.35 1.889
5.36 1.638
5.37 1.335
5.38 1.081
5.39 0.854
5.40 0.680
5.41 0.471
5.42 0.383
5.43 0.320
5.44 0.464
5.45 0.682
5.46 0.907
5.47 0.971
5.48 0.947
5.49 0.848
5.50 0.864
5.51 0.949
5.52 1.046
5.53 0.940
5.54 0.831
5.55 0.682
5.56 0.667
5.57 0.651
5.58 0.664
5.59 0.511
5.60 0.445
5.61 0.376
5.62 0.344
5.63 0.269
5.64 0.367
5.65 0.444
5.66 0.562
5.67 0.584
5.68 0.576
5.69 0.484
5.70 0.620
5.71 0.826
5.72 1.011
5.73 1.013
5.74 1.084
5.75 0.984
5.76 0.867
5.77 0.761
5.78 0.626
5.79 0.424
5.80 0.454
5.81 0.470
5.82 0.618
5.83 0.795
5.84 0.911
5.85 1.072
5.86 1.189
5.87 1.191
5.88 1.191
5.89 1.042
5.90 0.899
5.91 0.836
5.92 0.824
5.93 0.773
5.94 0.752
5.95 0.705
5.96 0.668
5.97 0.587
5.98 0.559
5.99 0.462
6.00 0.374
6.01 0.369
6.02 0.464
6.03 0.634
6.04 0.802
6.05 0.863
6.06 0.744
6.07 0.591
6.08 0.503
6.09 0.451
6.10 0.348
6.11 0.286
6.12 0.271
6.13 0.299
6.14 0.320
6.15 0.370
6.16 0.352
6.17 0.309
6.18 0.262
6.19 0.266
6.20 0.113
6.21 0.098
6.22 0.219
6.23 0.396
6.24 0.618
6.25 1.009
6.26 1.077
6.27 1.069
6.28 0.984
6.29 0.855
6.30 0.753
6.31 0.864
6.32 0.800
6.33 0.806
6.34 0.683
6.35 0.587
6.36 0.479
6.37 0.450
6.38 0.452
6.39 0.558
6.40 0.589
6.41 0.606
6.42 0.482
6.43 0.385
6.44 0.330
6.45 0.334
6.46 0.341
6.47 0.386
6.48 0.391
6.49 0.536
6.50 0.660
6.51 0.825
6.52 0.836
6.53 0.842
6.54 0.718
6.55 0.672
6.56 0.567
6.57 0.571
6.58 0.433
6.59 0.367
6.60 0.297
6.61 0.368
6.62 0.299
6.63 0.346
6.64 0.305
6.65 0.315
6.66 0.215
6.67 0.226
6.68 0.167
6.69 0.177
6.70 0.270
6.71 0.517
6.72 0.582
6.73 0.623
6.74 0.653
6.75 0.556
6.76 0.516
6.77 0.629
6.78 0.570
6.79 0.479
6.80 0.410
6.81 0.239
6.82 0.240
6.83 0.257
6.84 0.200
6.85 0.200
6.86 0.183
6.87 0.156
6.88 0.189
6.89 0.135
6.90 0.159
6.91 0.267
6.92 0.450
6.93 0.604
6.94 0.722
6.95 0.704
6.96 0.636
6.97 0.463
6.98 0.332
6.99 0.185
7.00 0.225
7.01 0.296
7.02 0.425
7.03 0.480
7.04 0.517
7.05 0.464
7.06 0.415
7.07 0.317
7.08 0.300
7.09 0.183
7.10 0.098
7.11 0.034
7.12 0.115
7.13 0.126
7.14 0.230
7.15 0.213
7.16 0.260
7.17 0.246
7.18 0.424
7.19 0.461
7.20 0.478
7.21 0.494
7.22 0.646
7.23 0.574
7.24 0.643
7.25 0.643
7.26 0.547
7.27 0.486
7.28 0.530
7.29 0.366
7.30 0.368
7.31 0.304
7.32 0.261
7.33 0.280
7.34 0.322
7.35 0.316
7.36 0.367
7.37 0.313
7.38 0.327
7.39 0.301
7.40 0.307
7.41 0.258
7.42 0.253
7.43 0.232
7.44 0.298
7.45 0.263
7.46 0.241
7.47 0.210
7.48 0.343
7.49 0.479
7.50 0.712
7.51 0.816
7.52 0.828
7.53 0.772
7.54 0.714
7.55 0.616
7.56 0.596
7.57 0.527
7.58 0.402
7.59 0.274
7.60 0.321
7.61 0.399
7.62 0.485
7.63 0.522
7.64 0.482
7.65 0.339
7.66 0.311
7.67 0.339
7.68 0.326
7.69 0.362
7.70 0.476
7.71 0.497
7.72 0.416
7.73 0.400
7.74 0.311
7.75 0.207
7.76 0.205
7.77 0.237
7.78 0.174
7.79 0.294
7.80 0.276
7.81 0.283
7.82 0.339
7.83 0.364
7.84 0.384
7.85 0.473
7.86 0.411
7.87 0.431
7.88 0.393
7.89 0.427
7.90 0.392
7.91 0.407
7.92 0.401
7.93 0.550
7.94 0.658
7.95 0.783
7.96 0.657
7.97 0.513
7.98 0.285
7.99 0.247
8.00 0.241
8.01 0.255
8.02 0.262
8.03 0.388
8.04 0.498
8.05 0.677
8.06 0.742
8.07 0.745
8.08 0.606
8.09 0.439
8.10 0.253
8.11 0.232
8.12 0.194
8.13 0.214
8.14 0.162
8.15 0.148
8.16 0.050
8.17 0.137
8.18 0.230
8.19 0.293
8.20 0.251
8.21 0.326
8.22 0.170
8.23 0.164
8.24 0.303
8.25 0.437
8.26 0.461
8.27 0.625
8.28 0.508
8.29 0.422
8.30 0.390
8.31 0.320
8.32 0.302
8.33 0.343
8.34 0.302
8.35 0.367
8.36 0.393
8.37 0.465
8.38 0.501
8.39 0.466
8.40 0.411
8.41 0.389
8.42 0.330
8.43 0.320
8.44 0.300
8.45 0.269
8.46 0.170
8.47 0.048
8.48 -0.033
8.49 -0.045
8.50 0.081
8.51 0.202
8.52 0.277
8.53 0.283
8.54 0.277
8.55 0.281
8.56 0.309
8.57 0.240
8.58 0.125
8.59 0.078
8.60 0.154
8.61 0.183
8.62 0.229
8.63 0.232
8.64 0.265
8.65 0.257
8.66 0.349
8.67 0.332
8.68 0.259
8.69 0.277
8.70 0.517
8.71 0.637
8.72 0.820
8.73 0.909
8.74 0.805
8.75 0.618
8.76 0.635
8.77 0.476
8.78 0.399
8.79 0.296
8.80 0.194
8.81 0.152
8.82 0.296
8.83 0.333
8.84 0.500
8.85 0.468
8.86 0.486
8.87 0.431
8.88 0.439
8.89 0.438
8.90 0.493
8.91 0.453
8.92 0.463
8.93 0.383
8.94 0.360
8.95 0.310
8.96 0.254
8.97 0.298
8.98 0.463
8.99 0.676
9.00 0.892
9.01 0.984
9.02 1.017
9.03 0.973
9.04 0.968
9.05 0.874
9.06 0.782
9.07 0.620
9.08 0.488
9.09 0.338
9.10 0.346
9.11 0.404
9.12 0.475
9.13 0.467
9.14 0.477
9.15 0.392
9.16 0.298
9.17 0.212
9.18 0.190
9.19 0.087
9.20 0.148
9.21 0.272
9.22 0.256
9.23 0.265
9.24 0.460
9.25 0.504
9.26 0.607
9.27 0.715
9.28 0.562
9.29 0.444
9.30 0.358
9.31 0.220
9.32 0.226
9.33 0.264
9.34 0.284
9.35 0.347
9.36 0.329
9.37 0.318
9.38 0.335
9.39 0.500
9.40 0.616
9.41 0.703
9.42 0.654
9.43 0.571
9.44 0.406
9.45 0.346
9.46 0.196
9.47 0.182
9.48 0.106
9.49 0.113
9.50 0.122
9.51 0.153
9.52 0.194
9.53 0.311
9.54 0.327
9.55 0.395
9.56 0.442
9.57 0.438
9.58 0.402
9.59 0.409
9.60 0.325
9.61 0.264
9.62 0.214
9.63 0.199
9.64 0.104
9.65 0.105
9.66 0.113
9.67 0.113
9.68 0.032
9.69 0.106
9.70 0.075
9.71 0.065
9.72 0.077
9.73 0.176
9.74 0.087
9.75 0.164
9.76 0.171
9.77 0.161
9.78 0.190
9.79 0.266
9.80 0.171
9.81 0.207
9.82 0.137
9.83 0.247
9.84 0.346
9.85 0.459
9.86 0.513
9.87 0.550
9.88 0.509
9.89 0.501
9.90 0.399
9.91 0.320
9.92 0.240
9.93 0.232
9.94 0.231
9.95 0.198
9.96 0.149
9.97 0.103
9.98 0.067
9.99 0.159
10.00 0.227

QQ图片20151119193903.png
魔乐社区(Modelers.cn) 是一个中立、公益的人工智能社区,提供人工智能工具、模型、数据的托管、展示与应用协同服务,为人工智能开发及爱好者搭建开放的学习交流平台。社区通过理事会方式运作,由全产业链共同建设、共同运营、共同享有,推动国产AI生态繁荣发展。
更多推荐


所有评论(0)