Economics Dictionary of ArgumentsHome
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| Neural Networks - Economics Dictionary of Arguments | |||
| Neural networks: Neural networks are computational models inspired by the human brain, designed to recognize patterns and solve complex problems. They consist of layers of interconnected nodes (analogous to neurons) that process input data and learn to perform tasks by adjusting the strength of connections based on feedback. Used extensively in machine learning, they enable applications like image recognition, language processing, and predictive analysis. See also Artificial Neural networks, Connectionism, Computer models, Computation, Artificial Intelligence, Machine learning._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
| Author | Item | More concepts for author | |
|---|---|---|---|
| Anderson, Chris | Neural Networks | Anderson, Chris | |
| Deacon, Terrence W. | Neural Networks | Deacon, Terrence W. | |
| Dyson, George | Neural Networks | Dyson, George | |
| Mareschal, Denis | Neural Networks | Mareschal, Denis | |
| McCulloch, Warren | Neural Networks | McCulloch, John Ramsay | |
| Minsky, Marvin | Neural Networks | Minsky, Marvin | |
| Norvig, Peter | Neural Networks | Norvig, Peter | |
| Pitts, Walter | Neural Networks | Pitts, Walter | |
| Rumelhart, David E. | Neural Networks | Rumelhart, David E. | |
| Wolfram, Stephen | Neural Networks | Wolfram, Stephen | |
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Ed. Martin Schulz, access date 2025-01-16 | |||
