Neural Networks

Definition of Neural Networks as it relates to Technology, Artificial Intelligence, Artificial Intelligence Algorithms, Automation Systems, Expert Systems

Neural Networks, as a component of Expert Systems within the field of Artificial Intelligence Algorithms and Automation Systems, are a type of machine learning model inspired by the human brain's interconnected neurons. These networks consist of layers of nodes, or "artificial neurons," that process and transmit information to one another through weighted connections. The weights are adjusted during training, allowing the network to learn and improve its performance on a given task. Neural Networks can be used for a variety of applications, such as image recognition, natural language processing, and decision-making, making them an essential tool in Artificial Intelligence and Technology. They are a powerful technique that allows computers to recognize patterns and make decisions based on data, which is a key aspect of Expert Systems. Neural Networks can be thought of as a way for machines to mimic the human brain's ability to learn from experience, making them an essential component in achieving true 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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