Neural Networks

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

Neural Networks, within the context of Reinforcement Learning, refer to a subset of artificial intelligence algorithms inspired by the structure and function of the human brain. These networks consist of interconnected nodes, or "neurons," which process information through weighted connections. Over time, these weights are adjusted based on feedback from the environment, enabling the network to learn and improve its performance. As a crucial component of Reinforcement Learning, Neural Networks facilitate decision-making processes by evaluating potential actions and predicting outcomes, thereby driving agents toward optimal behavior in complex environments.

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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