Neural Networks

Definition of Neural Networks as it relates to Science, Neuroscience

Neural Networks, derived from neuroscience, encompass computational models designed to simulate the human brain's information processing capabilities. These networks consist of interconnected nodes or artificial neurons that work together to learn and perform tasks by adjusting their weights based on input data. The study of neural networks falls under the umbrella of computer science, where it is applied to various fields such as machine learning, artificial intelligence, and pattern recognition. Neural networks enable computers to recognize patterns, make decisions, and solve complex problems in a manner that emulates human cognition.

Child Hierarchical Categories

[Artificial Intelligence]

[Biological Science]

[Brain Imaging]

[Cellular Neuroscience]

[Cognitive Neuroscience]

[Computational Neuroscience]

[Data Mining]

[Deep Learning]

[Machine Learning]

[Molecular Neuroscience]

[Neural Information Processing]

[Neurobiology]

[Pattern Recognition]

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
Related Categories ⇒