- Single layer perceptron
- create function: neurolab.net.newp()
- example of use: newp
- default train function: neurolab.train.train_delta()
- support train functions: train_gd, train_gda, train_gdm, train_gdx, train_rprop, train_bfgs, train_cg
- Multilayer feed forward perceptron
- create function: neurolab.net.newff()
- example of use: newff
- default train function: neurolab.train.train_gdx()
- support train functions: train_gd, train_gda, train_gdm, train_rprop, train_bfgs, train_cg
- Competing layer (Kohonen Layer)
- create function: neurolab.net.newc()
- example of use: newc
- default train function: neurolab.train.train_cwta()
- support train functions: train_wta
- Learning Vector Quantization (LVQ)
- create function: neurolab.net.newlvq()
- example of use: newlvq
- default train function: neurolab.train.train_lvq()
- Elman Recurrent network
- create function: neurolab.net.newelm()
- example of use: newelm
- default train function: neurolab.train.train_gdx()
- support train functions: train_gd, train_gda, train_gdm, train_rprop, train_bfgs, train_cg
- Hopfield Recurrent network
- create function: neurolab.net.newhop()
- example of use: newhop