Title:
A COMBINATORIAL APPROACH FOR SUPERVISED NEURAL NETWORK LEARNING
Document Type and Number:
WIPO Patent Application WO2003021528
Kind Code:
A3
Abstract:
A technique for machine learning, such as supervised artificial neural network learning includes receiving data and checking the dimensionality of the read data and reducing the dimensionality to enhance machine learning performance using Principal Component Analysis methodology. The technique further includes specifying the neural network architecture and initializing weights to establish a connection between read data including the reduced dimensionality and the predicted values. The technique also includes performing supervised machine learning using the specified neural network architecture, initialized weights, and the read data including the reduced dimensionality to predict values. Predicted values are then compared to a normalized system error threshold value and the initialized weights are revised based on the outcome of the comparison to generate a learnt neural network having a reduced error in weight space. The learnt neural network is validated using known values and is then used for predicting values.
Inventors:
SHETTY RAVINDRA K
THYAGARAIAN VANKATESAN
THYAGARAIAN VANKATESAN
Application Number:
PCT/US2002/027566
Publication Date:
June 17, 2004
Filing Date:
August 29, 2002
Export Citation:
Assignee:
HONEYWELL INT INC (US)
International Classes:
G06N3/08; (IPC1-7): G06N3/08
Foreign References:
| US5812992A | 1998-09-22 | |||
| EP0528399A2 | 1993-02-24 |
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