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Table 5 MSE of 11 BP-ANN algorithms base on 3–12 neurons in the hidden layer

From: A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS

Algorithm

Number of neurons in the hidden layer

3

4

5

6

7

8

9

10

11

12

Traingd

0.597710

0.633182

0.566311

0.888439

0.778596

0.895304

1.025611

1.057920

0.425543

0.382488

Traingdm

0.003257

0.002775

0.003120

0.003124

0.003389

0.003088

0.003015

0.003237

0.003293

0.003116

Traingda

0.002978

0.002820

0.003169

0.002910

0.002736

0.003304

0.002894

0.003054

0.003250

0.002987

Traingdx

0.004025

0.003410

0.003930

0.003967

0.003496

0.002735

0.003296

0.003464

0.003186

0.003055

Trainrp

0.004357

0.004044

0.004410

0.004013

0.004315

0.004017

0.004347

0.004304

0.004002

0.003873

Traincgf

0.004123

0.004409

0.003290

0.003908

0.003490

0.004200

0.004084

0.003001

0.004252

0.004482

Traincgp

0.003626

0.004292

0.003758

0.002979

0.003060

0.003433

0.004048

0.004186

0.004122

0.003273

Traincgb

0.003661

0.002862

0.002901

0.002945

0.003922

0.003591

0.003041

0.003591

0.002966

0.002799

Trainscg

0.004381

0.004148

0.004444

0.004257

0.004166

0.004352

0.004403

0.004491

0.003700

0.004392

Trainoss

0.003074

0.003489

0.002980

0.002927

0.003281

0.002651

0.002948

0.003391

0.003032

0.003330

Trainlm

0.002369

0.002293

0.002123

0.001863

0.002042

0.002313

0.002330

0.002365

0.002445

0.002491