Neural Networks

Definition of Neural Networks as it relates to Technology, Artificial Intelligence, Artificial Intelligence Algorithms, Machine Learning Methods, Artificial Intelligence Techniques

Neural Networks are a type of Artificial Intelligence Technique that is inspired by the structure and function of the human brain. They are a key component of Machine Learning Methods and Artificial Intelligence Algorithms, which fall under the broader category of Artificial Intelligence Techniques. Neural Networks consist of interconnected processing nodes, or "neurons," that work together to learn patterns in data and make predictions or decisions based on that learning. They are well-suited for tasks such as image and speech recognition, natural language processing, and decision making under uncertainty. The connections between neurons in a Neural Network are adjusted during training, allowing the network to adapt and improve its performance over time. This ability to learn and improve makes Neural Networks a powerful tool in the field of Artificial Intelligence.

Note
  • [DeepNeuralNetworks.net]
  • [bionn.matinf.uj.edu.pl] Bio-inspired artificial neural networks
  • [snufa.net] SNUFA | Spiking Neural networks as Universal Function Approximators
  • [holger-arndt.com] Holger Arndt | Big Data Analytics, Machine Learning, Neural Networks
  • [rnns.net] RNNS — Official site of Russian Neural Network Society
  • [nnql.org] NNQL Neural Network Query Language
  • [pfr.com] Parallax Financial Research – Neural Network Solutions for Professional Money Managers
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