Attrasoft Predictor 2.6 Data
To see the data, click an item on the left.
Attrasoft produces "neural network" software to predict:
based on a number of more fundamental economic inputs which represent the U. S. economy as a whole.
Neural networks allow a computer to truly learn from a set of training data to allow pattern recognition and to formulate generalizations. The name "neural network" is used to describe the computer algorithms because they are based on the operation of a network of nerves, such as the human brain, and these computer networks learn much the same way a network of nerves learn.
Because a computer is allowed find its own patterns and generalizations in the training set, it reaches its own conclusions and essentially eliminates or side-steps inherent limitations in man-made forecasts or models--the limiting nature of the theories and assumptions on which the models are based. The technique allows for an objective model to develop which is not biased by human preconceptions, creative embellishments, or cognitive limitations.
Most of the training sets utilize the following economic parameters as the foundation for developing the models on which the forecasts are based:
An example of a data set for Intel stock is:
Neural networks are hard at work in many different industries and services such as credit approval, voice recognition, weather forecasting, securities forecasting, and product design.