分類9個無理數並比較他們之間的分佈差異

(2**0.5,3**0.5)—100*10*2—(1,0)(0,1)

(2**0.5,5**0.5)—100*10*2—(1,0)(0,1)

(2**0.5,e)—100*10*2—(1,0)(0,1)

(2**0.5,pi)—100*10*2—(1,0)(0,1)

(2**0.5,6**0.5)—100*10*2—(1,0)(0,1)

(2**0.5,7**0.5)—100*10*2—(1,0)(0,1)

(2**0.5,8**0.5)—100*10*2—(1,0)(0,1)

(2**0.5,10**0.5)—100*10*2—(1,0)(0,1)

做了8個網絡分別用來分類2**0.5和3**0.5,5**0.5,e,pi,6**0.5,7**0.5,8**0.5,10**0.5.

每個無理數保留3萬位有效數字,10個數字一張圖片,前2500張用於訓練後500張用於測試。比較這幾個無理數之間的差異有什麼不同。

 

首先統計平均分類準確率pave

 

2500-3000

2**0.5

           
 

3**0.5

5**0.5

e

pi

6**0.5

7**0.5

8**0.5

10**0.5

δ

平均準確率p-ave

平均準確率p-ave

平均準確率p-ave

平均準確率p-ave

平均準確率p-ave

平均準確率p-ave

平均準確率p-ave

平均準確率p-ave

0.5

0.500452261

0.500140704

0.499537688

0.49918593

0.499919598

0.499728643

0.500271357

0.499974874

0.4

0.517994975

0.514286432

0.483246231

0.513592965

0.516512563

0.528879397

0.485668342

0.522889447

0.3

0.519864322

0.524417085

0.498226131

0.517949749

0.519909548

0.526909548

0.491758794

0.523060302

0.2

0.513638191

0.509175879

0.486874372

0.509286432

0.519301508

0.52119598

0.491236181

0.518477387

0.1

0.512447236

0.513547739

0.493236181

0.509276382

0.51518593

0.511758794

0.491582915

0.516567839

0.01

0.504768844

0.510100503

0.491236181

0.502487437

0.502869347

0.504517588

0.49521608

0.509271357

0.001

0.506643216

0.508743719

0.49361809

0.498085427

0.502261307

0.506427136

0.497633166

0.505562814

9.00E-04

0.504467337

0.509894472

0.492979899

0.499030151

0.502321608

0.505979899

0.49598995

0.506663317

8.00E-04

0.504919598

0.507306533

0.491341709

0.49938191

0.503160804

0.50440201

0.495321608

0.507899497

7.00E-04

0.504733668

0.509356784

0.492432161

0.499482412

0.502025126

0.505592965

0.497889447

0.506592965

6.00E-04

0.506145729

0.510477387

0.492135678

0.500778894

0.501924623

0.506211055

0.497115578

0.507733668

5.00E-04

0.506638191

0.508623116

0.494291457

0.501095477

0.501969849

0.505361809

0.497437186

0.505005025

4.00E-04

0.507050251

0.507512563

0.491351759

0.499376884

0.501497487

0.504653266

0.496472362

0.506386935

3.00E-04

0.504934673

0.508844221

0.491201005

0.499226131

0.501934673

0.505407035

0.49638191

0.505763819

2.00E-04

0.506919598

0.508211055

0.492668342

0.498939698

0.501844221

0.505346734

0.497130653

0.506899497

1.00E-04

0.504577889

0.507728643

0.493246231

0.499738693

0.503150754

0.50679397

0.498025126

0.507075377

 

畫成圖

可以看到pave分成兩類,一類是小於50%的有pi,8**0.5和e。pi的pave略小於50%,表明2**0.5和pi的數字分佈差異最小,最不易區分。另一類是pave顯著大於50%,有6**0.5,5**0.5,和7**0.5,10**0.5,3**0.5.其中5**0.5的值最大,而7**0.5,10**0.5,3**0.5這3條線幾乎纏繞在一起。表明這3個數,數字的分佈規律接近。

 

再比較迭代次數的差異

 

2500-3000

2**0.5

           
 

3**0.5

5**0.5

e

pi

6**0.5

7**0.5

8**0.5

10**0.5

δ

迭代次數n

迭代次數n

迭代次數n

迭代次數n

迭代次數n

迭代次數n

迭代次數n

迭代次數n

0.5

19.33668342

21.46231156

17.51758794

19.78894472

19.83919598

18.32160804

18.30150754

18.15075377

0.4

11770.69849

10664.17085

11189.55779

13534.35678

12302.9799

11250.29648

14480.20603

12549.19095

0.3

57086.41709

30062.04523

34580.47236

60393.05528

46272.32663

27982.51256

82839.9799

37837.63317

0.2

135191.0503

120788.809

116589.8241

155078.8492

144089.191

138026.407

149974.5226

143811.2462

0.1

188887.3668

188465.4372

178663.6633

223942.9347

204056.1357

193853.9497

215478.4573

202345.005

0.01

301379.1156

301602.6281

299744.0854

331224.8744

303747.5226

309335.9899

330023.4724

313953.8342

0.001

421724.9246

426455.4925

427566.1055

454390.4271

426886.8844

432921.1508

471719.2412

443662.1759

9.00E-04

422781.603

427780.2462

423875.9045

463541.8593

432401.9849

450963.1407

486230.7136

445343.2412

8.00E-04

430972.1859

436584.196

452748.3869

469522.0704

438084.6633

463982.2513

493815.2764

459795.2462

7.00E-04

442785.7789

448578.2864

452554.5729

478613.8342

448150.6734

470797.5126

503312.9095

469001.3166

6.00E-04

455381.5578

463744.0653

459869.4724

499163.2211

466124.7437

481626.995

519613.5628

474531.4271

5.00E-04

467498.3266

485689.8392

466761.0905

507353.9698

489677.3568

503013.1407

544202.0251

495688.9698

4.00E-04

488769.1357

502967.1859

489836.603

536803.005

502668.8794

517509.5075

568515.9347

514145.794

3.00E-04

508326.191

523964.7186

528504.8643

564641.9497

518025.1709

556086.8894

606002.7236

552131.4673

2.00E-04

564547.0955

567855.5276

569002.3518

606663.7236

562929.1206

607040.6281

658516.7538

600759.8191

1.00E-04

646090.0402

660761.2312

660039.6482

703975.5025

655903.1106

706416.8894

793831.5176

655716.3869

 

只有8**0.5的迭代次數顯著的大些,而其他的網絡的迭代次數相差很小,區別不大。完全相同的兩個對象無法被分成兩類,迭代次數越大表明二者差異越小,表明2**0.5和8**0.5的差異是最小的。

 

無理數的數據來源

https://www.wolframalpha.com/input/?i=x%5E2-1

N[sqr(2),30000]

 

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