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The document discusses the concept of using biological inspiration, particularly the structure and function of neurons in the brain, to improve computer programs by making them more robust and capable of learning. It outlines how artificial neural networks (ANNs) can mimic brain processes, including learning mechanisms such as Hebbian learning and long-term potentiation. Additionally, it describes various architectures of neural networks and their applications in function approximation and predicting housin

Author

fiftech.rnd

Language

EN