Neural network
(Computers) system made up of programs and data bases that include several parallel processors and simulates the activity of the structure of the human brain | ||||
Search Dictionary:
Neural network definition was found in categories: Computer & Internet(2) Language, Idioms & Slang(2) Science & Technology(2) Arts & Humanities(1) Encyclopedia(1)
Neural network Definition from Computer & Internet Dictionaries & Glossaries
| FOLDOC |
| Internet Glossary |
Neural network
A type of artificial intelligence that attempts to imitate the way a human brain works. Rather than using a digital model, in which all computations manipulate zeros and ones, a neural network works by creating connections between processing elements, the computer equivalent of neurons. The organization and weights of the connections determine the output.
Neural networks are particularly effective for predicting events when the networks have a large database of prior examples to draw on. Strictly speaking, a neural network implies a non-digital computer, but neural networks can be simulated on digital computers.
The field of neural networks was pioneered by Bernard Widrow of Stanford University in the 1950s. To date, there are very few commercial applications of neural networks, but the approach is beginning to prove useful in certain areas that involve recognizing complex patterns, such as voice recognition.
A type of artificial intelligence that attempts to imitate the way a human brain works. Rather than using a digital model, in which all computations manipulate zeros and ones, a neural network works by creating connections between processing elements, the computer equivalent of neurons. The organization and weights of the connections determine the output.
Neural networks are particularly effective for predicting events when the networks have a large database of prior examples to draw on. Strictly speaking, a neural network implies a non-digital computer, but neural networks can be simulated on digital computers.
The field of neural networks was pioneered by Bernard Widrow of Stanford University in the 1950s. To date, there are very few commercial applications of neural networks, but the approach is beginning to prove useful in certain areas that involve recognizing complex patterns, such as voice recognition.
Neural network Definition from Language, Idioms & Slang Dictionaries & Glossaries
| WordNet 2.0 |
neural network
Noun
1. computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error
(synonym) neural net
(hypernym) computer architecture
2. any network of neurons or nuclei that function together to perform some function in the body
(synonym) neural net
(hypernym) reticulum
(hyponym) reticular formation, RF
(part-holonym) nervous system, systema nervosum
Noun
1. computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error
(synonym) neural net
(hypernym) computer architecture
2. any network of neurons or nuclei that function together to perform some function in the body
(synonym) neural net
(hypernym) reticulum
(hyponym) reticular formation, RF
(part-holonym) nervous system, systema nervosum
| hEnglish - advanced version |
neural network
neural network
n
1. computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error [syn: neural net]
2. any network of neurons or nuclei that function together to perform some function in the body [syn: neural net]
neural network
n
1. computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error [syn: neural net]
2. any network of neurons or nuclei that function together to perform some function in the body [syn: neural net]
Neural network Definition from Science & Technology Dictionaries & Glossaries
| Electronic Statistics Textbook |
Batch algorithms in STATISTICA Neural Networks
Algorithms which calculate the average gradient over an epoch, rather than adjusting on a case-by-case basis during training. Quick propagation, Delta-Bar-Delta, conjugate gradient descent and Levenberg-Marquardt are all batch algorithms.
Algorithms which calculate the average gradient over an epoch, rather than adjusting on a case-by-case basis during training. Quick propagation, Delta-Bar-Delta, conjugate gradient descent and Levenberg-Marquardt are all batch algorithms.
Neural Networks
Neural Networks are analytic techniques modeled after the (hypothesized) processes of learning in the cognitive system and the neurological functions of the brain and capable of predicting new observations (on specific variables) from other observations (on the same or other variables) after executing a process of so-called learning from existing data.
For more information, see Neural Networks; see also Data Mining, and STATISTICA Neural Networks.
| Gravity/Magnetic Glossary |
Neural Network
A member of a class of software that is "trained" by presenting it examples of input and the corresponding desired output. For example, the input might be a magnetic anomaly and the required output the depth to the source of that anomaly. Training might be conducted using synthetic data, iterating on the examples until satisfactory depth estimates are obtained. Neural networks are general-purpose programs which have applications outside potential fields , including almost any problem that can be regarded as pattern recognition in some form.
A member of a class of software that is "trained" by presenting it examples of input and the corresponding desired output. For example, the input might be a magnetic anomaly and the required output the depth to the source of that anomaly. Training might be conducted using synthetic data, iterating on the examples until satisfactory depth estimates are obtained. Neural networks are general-purpose programs which have applications outside potential fields , including almost any problem that can be regarded as pattern recognition in some form.
Neural network Definition from Arts & Humanities Dictionaries & Glossaries
Neural network Definition from Encyclopedia Dictionaries & Glossaries
| Wikipedia English - The Free Encyclopedia |
Neural network
Traditionally, the term neural network had been used to refer to a network or circuitry of biological neurons. The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes. Thus the term 'Neural Network' has two distinct connotations:
- Biological neural networks are made up of real biological neurons that are connected or functionally-related in the peripheral nervous system or the central nervous system. In the field of neuroscience, they are often identified as groups of neurons that perform a specific physiological function in laboratory analysis.
- Artificial neural networks are made up of interconnecting artificial neurons (usually simplified neurons) which may share some properties of biological neural networks. Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving traditional artificial intelligence tasks without necessarily attempting to model a real biological system.
| See more at Wikipedia.org... |