Neural Networks

Definition of Neural Networks as it relates to Technology, Machine Learning, Automation

Neural Networks is an advanced form of Machine Learning that is heavily influenced by the structure, function, and abilities of the human brain. It automates decision making processes for technology in various fields by analyzing and learning from data inputs. In this hierarchy, Neural Networks serves as a tool within Automation, taking raw data and turning it into actionable insights which can be used to improve business operations, make predictions, or drive better customer experiences, among other things. It is the layer of Machine Learning that enables self-learning algorithms to process complex data inputs and deliver accurate results. With roots in both Computer Science and Biology, Neural Networks are a crucial component in the development of intelligent systems capable of learning from experience and making decisions based on that learning.

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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