The research about networks of artificial neurons tried to simulate the research task in neurobiology science. The models used are often coarse, in particular connections which remain summary. Despite of the insufficiency of knowledge about how the brain works, algorithms may be build to simulate the training and the recognition of known configurations.

• Biological Aspect
• Artificial Neuron
• Neuron Networks
• Neuron Network Learning
• Supervised Learning
• Unsupervised Learning
• Learning using the Rule of Perceptron
• The Rule
• Generalized Rule
• Linear Function
• Nonlinear Continuous Function
• Weights Modification
• Not Supervised Learning
• Traditional Algorithm
• Example of Choice of Initial Vectors
• Learning Order
• The Conterpropagation
• The Fuzzy Neurons
• Fuzzy Neural Network