Neural Networks

Definition of Neural Networks as it relates to Technology, Artificial Intelligence, Artificial Intelligence Algorithms, Data Mining

Neural Networks, as applied to Data Mining, are algorithms inspired by the human brain's structure and function. They consist of interconnected nodes, or "neurons," that process information in layers. The connections between neurons have weights that are adjusted during training, allowing the network to learn from data. Neural networks can model complex relationships, making them useful for tasks like prediction, pattern recognition, and anomaly detection. In the context of Data Mining within Artificial Intelligence Algorithms, Neural Networks offer a powerful toolset for extracting insights from large and unstructured datasets. They represent a significant advancement in Machine Learning, enabling more accurate models and improved decision-making capabilities for businesses and organizations.

Child Hierarchical Categories

[Deep 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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