Artificial Neural Networks
Artificial Neural Networks (ANNs) are computational models inspired by the human brain's interconnected neurons. They consist of input and output layers, as well as hidden layers that transform the input into something the output layer can use. ANNs are capable of learning from experience and adapting to new inputs, making them suitable for a wide range of applications, including image and speech recognition, natural language processing, and decision-making. In this hierarchy, ANNs represent a specific type of neural network architecture within the broader field of Artificial Intelligence Algorithms, which itself falls under the umbrella of Artificial Intelligence in Technology.
Child Hierarchical Categories
External Links
- [bionn.matinf.uj.edu.pl] Bio-inspired artificial neural networks