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Imperial equations and prediction models were determined using regression analysis and neural networking, respectively.
Multiple Linear Regression Analysis (MVRA) and Artificial Neural Networking (ANN) have been used for predicting the two properties and the accuracy is tested by root mean square error.
Some researchers have even used neural networking to get an intelligent composite picture from the remaining sensors in a damaged building.
Response surface methodology (RS M and artificial neural networking (ANN) are applied to validate the results obtained during experimentation and to predict the behavior of the system under any condition within the operating range.
As abrasiveness of rocks is influenced by many geomechanical parameters, an attempt is made to use these parameters for its prediction using Multivariate Regression Analysis and Artificial Neural Networking.
A model was developed based on Artificial Neural Networking system identification methods to predict the optimum joint configuration based on the given input parameters.
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At the core, however, Nara uses its neural networking-based recommendation engine to learn about its user's tastes and create what the company calls a "Digital DNA" profile for each one of its users.
Then, in 2012, researchers at the University of Toronto succeeded in building neural networks capable of categorizing ImageNet's images automatically; their dramatic success helped set off today's neural-networking boom.
Increases in neural activation and cortical networking were observed during the Hard condition relative to the Easy condition, thus supporting the psychomotor efficiency hypothesis.
The psychomotor efficiency hypothesis suggests that poor performance is mediated by non-essential neural activity and cerebral cortical networking (inefficient cortical dynamics).
Wouldn't it be also nice if the networking computers could learn from human interactions and optimized their connectivity accordingly, much like neural axons modulate the strength of their connections inside the human brain?
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