Types of neural networks

Input type

Input method

Common uses

Hopfield-Net

Binary

Supervised

Associated memory to distinguish ASCII characters

Hammin_Net

Binary

Supervised

Connect with similar dual channel

Carpenter/grassbery classifier

Binary

Supervised

Assembly (adaptive resonance theory)

Perceptron

Continuous

Supervised

Discrimination and classification of simple shapes

Multi-layer perceptron

Continuous

Supervised

Featuring complex shapes and classification

Kohonenself organizing feature map

Continuous

Supervised

Evaluation of vector and speech, and analogy to biological neural networks