Neural Net


Also found in: Dictionary, Thesaurus, Medical, Acronyms, Encyclopedia, Wikipedia.
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 ?
Using DTW allows us to process a time series with different duration by one neural net. The classical Dynamic Time Warping algorithm that is applied in the system is fully described in (Keogh and Pazzani 2001).
But a Creativity Machine is composed minimally of two neural nets, a perceptron and an imagitron, and neither of these algorithms is written by human beings.
The six panels of Figure 1 are scatter plots of the relation between the actual--but squashed--Strong BIS (X-axis) and the squashed BIS values as predicted by the neural net (Y-axis) from the color test inputs.
We started with an I/O situation from which we may infer the underlying function f expressing it as a P1P ; then we obtain a 'natural' neural net representing f and finally we translate mechanically the neural net into a NeuPro program.
The inventories-T-bill neural net system is again a time-lag recurrent network using 423 data points, from June 1962 to August 1997.
Keywords: Cognitive styles; Learning styles; Neural net; On-line instruction; Meaningful learning.
The second forecast series was obtained with the variables in Table 1, but using a neural net. The network consists of ten input nodes (one for each independent variable), two hidden nodes, and one output node.
It is always possible to build a neural net or a mathematical function that exactly fits all the historical data such as a time series, but the predictive capability of such a system is relatively nonexistent.
Zhang discuss his neural net concepts several times and although he is a delightful and energetic speaker, I just plain don't understand it.
(1990) Stock Price Recognition A Recurrent Neural Net Approach.
A section of the course is dedicated to using statistical modeling to predict coatings behavior using QSPR (quantitative structure-property relationships) and ANN (artificial neural net) approaches.
The hypothesis was to determine if a robot could learn to turn left, right, move forward, and stop based on sensory input and previous decisions stored in a neural net. A Lego[TM]robot was designed with a two-wheel drive and a support wheel.

Full browser ?