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There are three main neural network architectures in neural networks:

• Feedforward ANN: This is a class of neural network models where the flow of information is unidirectional from input to output; thus, the architecture does not form any cycle. An example of a Feedforward network is shown in the following image:

• Feedback ANN: This is also known as the Elman recurrent network and is a class of neural networks where the error at the output node used as feedback to update iteratively to minimize errors. An example of a one layer Feedback neural network architecture is shown in the following image:

• Lateral ANN: This is a class of neural networks between Feedback and Feedforward neural networks with neurons interacting within layers. An example lateral neural network architecture is shown in the following image: