Types Of ANN Learning Algorithms In MATLAB

01.
trainb
Batch training with weight and bias learning rules

02
trainbfg
BFGS Quasi-Newton Backpropagation

03
trainbr
Bayesian Regularization

04
trainc
Cyclical order incremental training w/learning functions

05
traincgb
Powel-beale Conjugate gradient Backpropagation

06
traincgf
Fletcher-Powell Conjugate gradient Backpropagation

07
traincgp
Polak-Ribiere COnjugate gradient Backpropagation

08
traingd
Gradient decent backpropagation

09
traingdm
Gradient decent with momentum backpropagation

10
traingda
Gradient decent with adaptive Ir Backpropagation

11
traingdx
Gradient decent with momentum & adaptive Ir Backpropagation

12
trainlm
Levenberg-Marquardt Backpropagation

13
trainoss
One step secant Backpropagation

14
trainr
Random order incremental training with learning functions

15
trainrp
Resilient Backpropagation

16
trains
Sequential order incremental training with learning functions

17
trainscg
Scaled conjugate gradient backpropagation