Neural Networks

Definition of Neural Networks as it relates to Technology, Artificial Intelligence, Artificial Intelligence Algorithms, Explainable AI

Neural Networks, as part of Explainable AI, refers to algorithms and models designed to mimic the human brain's structure and function, enabling machines to learn from data and make decisions with increased transparency. By allowing for the interpretation of complex decision-making processes, Neural Networks contribute to the development of AI systems that can be understood, trusted, and regulated, aligning with the goals of Technology, Artificial Intelligence, and Artificial Intelligence Algorithms. In this context, Neural Networks focus on creating intelligible models without compromising performance, fostering a deeper understanding of AI behavior and its underlying mechanisms.

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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