What are the main topological structures of artificial neural networks? Thank you, Great Xia ~ ~ ~

The topological structure of neural network includes the number of network layers, the number of neurons in each layer and the interconnection mode between neurons.

From the topological structure of artificial neural network, its model can be divided into hierarchical model and interconnection model. The hierarchical model divides the neural network into input layer, hidden layer and output layer, which are connected in turn. Among them, the input layer neurons are responsible for receiving external input information and transmitting it to the hidden layer neurons. The hidden layer is responsible for information processing and information conversion within the neural network. Usually, the hidden layer is designed as one or more layers according to the needs of transformation.

Extended data:

The artificial neural network model mainly considers the topological structure of network connection, the characteristics of neurons, learning rules and so on. At present, there are nearly 40 kinds of neural network models, including back propagation network, perceptron, self-organizing mapping, Hopfield network, niels bohr Zmann machine, adaptive resonance theory and so on.

Artificial neural network adopts a completely different mechanism from traditional artificial intelligence and information processing technology, overcomes the defects of traditional artificial intelligence based on logical symbols in processing intuitive and unstructured information, and has the characteristics of adaptability, self-organization and real-time learning.

Baidu Encyclopedia-Artificial Neural Network