Neural Net


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Related to Neural Net: Artificial neural networks

Neural Net

A computerized system designed to imitate human thought. Specifically, neural nets are designed to make or recommend investment decisions in light of changing circumstances in a market. Using neural nets has become more common as computers have become more accessible.
References in periodicals archive ?
This mismatching can be caused by various reasons, such as insufficient training time, inappropriate low-level features used or limited generalization capability of the neural net model.
Many of the determinants of growth are captured in the neural net as intermediate variables that can be altered by government policy.
Lapedes also says his group has beenasked to use the neural net to check some of the experimental data being collected for GenBank, a DNA library administered by Los Alamos.
Watch a deep mind totally ace 'Space Invaders' After just four hours of game play, a deep neural net developed by Google's DeepMind has managed to come up with a Space Invaders strategy so optimal that it was better than any person's strategy.
The Load Net method loads the weights from the file to the current Neural Net object which calls the method.
Consciousness is an illusion of mind that is handily modeled by the Creativity Machine concept, wherein one internally perturbed neural net spontaneously generates the parade of memories, ideas, and feelings (all neuronal firing patterns) that we call "stream of consciousness.
Neural Net The results reported here derive exclusively from analyses based on standard neural nets using backpropagation based on standard logistic squashing, momentum, and varying learning rates (cf.
A neural net analysis of 45 SEC targeted firms over the period 2000 to 2005 indicated that such announcements did not have an adverse impact on stock price both at the time of the announcement and six months later.
McCulloch and Pitts (1943) is an early example of a simple neural net of limited usefulness.
The neural net acts like a pattern association memory bank that maps the low-level feature vectors into their corresponding semantic labels.
How can the simple neural net of a cnidarian interpret any image, blurry or not?

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