Neural Networks
Neural networks, a subset of machine learning algorithms, are computational models inspired by the human brain's interconnected neurons. These networks consist of layers of nodes, or artificial neurons, that process and transmit information, enabling them to learn patterns from data. In the context of data mining, neural networks can uncover complex relationships within large datasets, making them a valuable tool for extracting insights and making predictions. As part of artificial intelligence algorithms, they contribute to the development of artificial intelligence technology by simulating the way humans process information and make decisions. Neural networks are instrumental in various applications, including image recognition, natural language processing, and autonomous systems, further solidifying their role in the realm of artificial intelligence and data mining.
External Links
- [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