Title:
SYSTEM AND METHOD FOR COMPUTER-BASED ANALYSIS OF LARGE AMOUNTS OF DATA
Document Type and Number:
WIPO Patent Application WO/2010/058299
Kind Code:
A3
Abstract:
For a computer system used for data analysis, the training time is to be significantly reduced through technical means; also, the storage space required is to be noticeably reduced through the use of technical measures. To this end, an electronic data processing system for analyzing data is proposed, comprising at least one analysis computer, wherein the analysis computer is adapted and programmed to implement a self-adapting neural network that is subjected to training by a plurality of data sets with many features, wherein the neurons of the neural net are assigned initial neuron weights, the neurons of the neural net are assigned neuron weights that are extracted from said plurality of data sets with said many features, a training involves a plurality of training phases, and wherein each training phase comprises a certain number of training cycles, wherein at the beginning of each training phase, either neurons whose neuron weights are made up of weights of existing neurons, at least partially, are added into the neural network, or neurons are removed from the neural net and the neuron weights of the remaining neurons are weighted with portions of the weights of the removed neurons, at least partially.
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Inventors:
DORNEICH ANSGAR (DE)
Application Number:
PCT/IB2009/008055
Publication Date:
November 24, 2011
Filing Date:
November 19, 2009
Export Citation:
Assignee:
OPTIMINING GMBH (DE)
DORNEICH ANSGAR (DE)
DORNEICH ANSGAR (DE)
International Classes:
G06N3/10
Foreign References:
| US5729662A | 1998-03-17 |
Other References:
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FRITZKE B: "GROWING CELL STRUCTURES. A SELF-ORGANIZING NETWORK FOR UNSUPERVISED AND SUPERVISED LEARNING", NEURAL NETWORKS, ELSEVIER SCIENCE PUBLISHERS, BARKING, GB, vol. 7, no. 9, 1 January 1994 (1994-01-01), pages 1441 - 1460, XP000489767, ISSN: 0893-6080
MARTINETZ T ET AL: "Topology representing networks", NEURAL NETWORKS, ELSEVIER SCIENCE PUBLISHERS, BARKING, GB, vol. 7, no. 3, 1 January 1994 (1994-01-01), pages 507 - 522, XP024393571, ISSN: 0893-6080, [retrieved on 19940101]
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WHITTINGTON G ET AL: "An efficient multiprocessor mapping algorithm for the Kohonen feature map and its derivative models", NEURAL NETWORKS, 1994. IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGEN CE., 1994 IEEE INTERNATIONAL CONFERENCE ON ORLANDO, FL, USA 27 JUNE-2 JULY 1994, NEW YORK, NY, USA,IEEE, vol. 1, 27 June 1994 (1994-06-27), pages 17 - 21, XP010127175, ISBN: 978-0-7803-1901-1
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