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1 Feedforward neural network

2 Radial basis function (RBF) network

2.1 General descripton of RBF networks

2.2 How RBF networks work

2.2.1 Radial Basis Function

2.2.2 RBF Network Architecture

2.2.3 Training RBF Networks

2.2.4 The RBF Network Property Page

3 Kohonen self-organizing network

4 Learning vector quantization

5 Recurrent neural network

5.1 Fully recurrent network

5.1.1 Hopfield network

5.1.2 Boltzmann machine

5.2 Simple recurrent networks

5.3 Echo state network

5.4 Long short-term memory network

5.5 Bi-directional RNN

5.6 Hierarchical RNN

5.7 Stochastic neural networks

6 Modular neural networks

6.1 Committee of machines

6.2 Associative neural network (ASNN)

7 Physical neural network

8 Other types of networks

8.1 Holographic associative memory

8.2 Instantaneously trained networks

8.3 Spiking neural networks

8.4 Dynamic neural networks

8.5 Cascading neural networks

8.6 Neuro-fuzzy networks

8.7 Compositional pattern-producing networks

8.8 One-shot associative memory

8.9 Hierarchical temporal memory

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