Forecasting using a neural network and a statistical forecast

Details Forecasting using a neural network and a statistical forecast Forecasting using a neural network and a statistical forecast

1993-10-25

1995-10-24

MacDonald, Allen R.

Boots, shoes, and leggings

395 22, 395 24, 364401, G06F 1518

Patent

active

054616999

ABSTRACT:
A system and method for forecasting that combines a neural network with a statistical forecast is presented. A neural network having an input layer, a hidden layer, and an output layer with each layer having one or more nodes is presented. Each node in the input layer is connected to each node in the hidden layer and each node in the hidden layer is connected to each node in the output layer. Each connection between nodes has an associated weight. One node in the input layer is connected to a statistical forecast that is produced by a statistical model. All other nodes in the input layer are connected to a different historical datum from the set of historical data. The neural network being operative by outputting a forecast, the output of the output layer nodes, when presented with input data. The weights associated with the connections of the neural network are first adjusted by a training device. The training device applies a plurality of training sets to the neural network, each training set consisting of historical data, an associated statistical output and a desired forecast, with each set of training data the training device determines a difference between the forecast produced by the neural network given the training data and the desired forecast, the training device then adjusts the weights of the neural network based on the difference.

REFERENCES:
patent: 5005143 (1991-04-01), Altachuler et al.
patent: 5050096 (1991-09-01), Serdman
patent: 5113483 (1992-05-01), Keeler et al.
patent: 5140537 (1992-08-01), Tullis
patent: 5142612 (1992-08-01), Skeirik
patent: 5145112 (1992-09-01), Ueda
patent: 5148370 (1992-09-01), Litt et al.
patent: 5155763 (1992-10-01), Bigus et al.
patent: 5155801 (1992-10-01), Lincoln
patent: 5182793 (1993-01-01), Alexander et al.
patent: 5218646 (1993-06-01), Sirat et al.
Forecasting of Electricity Comsumption Liu et al. IEEE 18-21, Nov. 1991.
Stock Market prediction system with Modular Neural Networks Kimoto et al., IEEE/ 17-21 Jun. 1990.
Weather Sensitive Short-term Load Forecasting Virus Naturally Connected Artificial Neural Network Chen et al., IEEE Aug. 1992.
"Artificial Nueral Networks Weighting the Different Ways to Systematize Thinking", Moore, IEEE Potentials Feb. 1992.
"Neural Networks at Work", Hammerstrum, IEEE Spectrum, Jun. 1993.
"Neurocomputing: picking the Human Brain", Hecht-Nielsen IEEE Spectrum Mar. 1989.
"Nueral Network Primer" Parts I-V, Caudill, AI Expert Dec. 1987, Feb. 1988, Jun. 1988, Aug. 1988.
"Pattern Recognition: Neural Networks in Perspective", Klang, IEEEE Expert, Aug. 1993.
"Learning Internal Representaions by Error Propagation" Rumelhart et al. 1988.

Affiliated with

Also associated with

Rating

Forecasting using a neural network and a statistical forecast does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Forecasting using a neural network and a statistical forecast, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Forecasting using a neural network and a statistical forecast will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1892776