artificial neural network

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artificial neural network

(ar-ti-fish'ăl nū'răl net'wŏrk),
a computer-based decision-making system for complex data sets comprising processor nodes interconnected in a weighted fashion, simulating a biologic nervous system.
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This technology predicts the progress of learning at every layer based on the structure of an artificial neural network, and enables regularization to be automatically configured accordingly," said Akio Yaamada, General Manager of NEC's Data Science Research Laboratories.
Epidemiologic interpretation of artificial neural networks.
The expert system for assessing customersatisfaction on fragrance notes: using artificial neural networks.
This research work is based upon the prediction of reservoir properties in the inter-well regions using the technique of artificial neural networks.
Rajeshwar Nalbalwar et al [7] used Artificial Neural Network for the detection of brain tumors.
Artificial neural networks (ANN) are commonly referred as "neural networks" since they process data similarly to the human brain.
Prediction of indoor air quality using artificial neural networks, Fifth International Conference on Natural Computation, 414-418, China.
Artificial neural networks (ANNs) are processors that are trained to perform a particular task, such as a classification, prediction, or control task.
It's incredible what artificial neural networks can do right now.
There are several types of artificial neural networks that are used to mimic real neurons and examine performance in animals and machines.
HONNs are an open box neural networks tool comparable to traditional artificial neural networks.
Due to its nonlinear structure, artificial neural networks can capture more complex characteristics, controlled for several genes, of the data, which is not always possible with traditional statistical techniques, like traditional analysis of variance.

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