Method of organizing data into a graphically oriented format

Details Method of organizing data into a graphically oriented format Method of organizing data into a graphically oriented format

1995-09-05

1998-10-06

MacDonald, Allen R.

Data processing: artificial intelligence

Neural network

Learning task

G06F 1518

Patent

active

058192450

ABSTRACT:
A neural network (10) organizes the data items into a graphically oriented format by retrieving data items from a database (68) where each data item has a plurality of attributes. The neural network is organized (102) such that data items having similar attributes are assigned to neurons located closer together. The neurons of the neural network are matched (104) with the data items from the database and stored in a cross reference table. The cross reference table is displayed (106) on a computer screen (108) in a graphical format so that user visually relates the food items and sees the similarities and differences in their attribute data by the proximity of the data items to one another. The graphic format allows easy visual interpretation of the data items. For large databases, multiple neural networks (110, 112) can be organized hierarchically.

REFERENCES:
patent: 4718025 (1988-01-01), Minor et al.
patent: 5014219 (1991-05-01), White
patent: 5023833 (1991-06-01), Baum et al.
patent: 5065040 (1991-11-01), Peterson et al.
patent: 5067095 (1991-11-01), Pererson et al.
patent: 5224203 (1993-06-01), Skeirik
patent: 5434966 (1995-07-01), Nakazawa et al.
patent: 5461696 (1995-10-01), Frank et al.
patent: 5490223 (1996-02-01), Nishimura et al.
patent: 5504884 (1996-04-01), Kyuma et al.
patent: 5598510 (1997-01-01), Castelaz
patent: 5608899 (1997-03-01), Li et al.
patent: 5615305 (1997-03-01), Bigus
patent: 5619619 (1997-04-01), Shinohura et al.
patent: 5632006 (1997-05-01), Peterson et al.
Samuel Kaski and Teuvo Kohonen, "A Taxonomy of Poverty Types of Countries on a Self-Organizing Map", Helsinki University of Technology, 1994. pp. 1-15.
V-kovacs et al., A generalization technique for Nearest-Neighbor classifiers, Neural networks, 1991 IEEE International conference, 1991.
Chandrasekaran et al., An extended self-organizing map with gated neurons, 1993 IEEE conference on neural networks, pp. 1474-1479, Apr. 1, 1993.
Maekawa et al., A competitive system with adaptive gain tuning, 1994 IEEE International conference on neural networks, pp. 2813-2818, Jul. 2, 1994.
Rickman et al., Coding facial images for database retrieval using a self organizing neural network, IEE colloq. (1992) No. 017.
Gersho et al., Information retrieval using hybrid multi-layer neural networks, 1990 IEEE International conference on neural networks, pp. 111-117.
Baraldi et al., A self-organizing neural network to categorize a random input sequence of multivalued vectors, IGARSS 95, pp. 1258-1262. vol. 2. Jul, 14, 1995.
Choi et al., A high-precision VLSI winner-take-all circuit for self-organizing neural networks, IEEE Journal of solid states circuits, vol. 28, pp. 576-584, May 1993.
Baruah et al., Kohonen's feature maps applied to ordered clustering applications, 1991 IEEE International conference on neural networks, pp. 596-601, 1991.
Baraldi et al., A neural network for unsupervised categorization of multivalued Input Patterns: An application to satellite image clustering, IEEE transactions on geoscience and remote sensing, pp. 305-316, Mar. 1995 .

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