Neural Networks

Definition of Neural Networks as it relates to Science, Neuroscience, Quantum Mechanics

Neural Networks, under Quantum Mechanics in the Science/Neuroscience hierarchy, is an area of study concerning the simulation and implementation of artificial neural networks, inspired by the structure and function of biological neurons. It involves the design and analysis of algorithms for processing complex data through interconnected nodes, or "neurons," that can learn from examples and make decisions based on patterns. This field draws upon concepts from various disciplines including computer science, mathematics, statistics, engineering, and neuroscience, making it a multidisciplinary approach to understanding intelligence and information processing. In the context of Quantum Mechanics, Neural Networks may be used to model quantum phenomena or to develop quantum algorithms for solving complex problems, further expanding our understanding of the natural world and advancing technology.

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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