Method of organizing data into a graphically oriented format
First Claim
1. A computer implemented method of organizing data into a graphically oriented format, comprising the steps of:
- retrieving data items from a database where said data items each have a plurality of attributes;
training synaptic elements of a neural network with said data items so that said data items having similar attributes are assigned to a neighborhood of neurons in said neural network;
identifying a closest match between said data items from said database and said neurons of said neural network by comparing said plurality of attributes of said data items with trained values of said synaptic elements of said neurons of said neural network;
storing said closest match in a first cross reference table; and
displaying said first cross reference table in a graphical format to present similarities between said data items by positioning similar data items in proximity to one another in a display area.
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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.
89 Citations
26 Claims
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1. A computer implemented method of organizing data into a graphically oriented format, comprising the steps of:
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retrieving data items from a database where said data items each have a plurality of attributes; training synaptic elements of a neural network with said data items so that said data items having similar attributes are assigned to a neighborhood of neurons in said neural network; identifying a closest match between said data items from said database and said neurons of said neural network by comparing said plurality of attributes of said data items with trained values of said synaptic elements of said neurons of said neural network; storing said closest match in a first cross reference table; and displaying said first cross reference table in a graphical format to present similarities between said data items by positioning similar data items in proximity to one another in a display area. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for organizing data into a graphically oriented format, comprising:
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means for training memory elements of an organization map with attributes of data items so that said data items having similar attributes are assigned to a neighborhood of processing elements in said organization map; means for identifying a closest match between said data items and said processing elements of said organization map by comparing said attributes of said data items with trained values of said memory elements of said processing elements of said projection map; means for storing said closest match in a first cross reference table; and means for displaying said first cross reference table in a graphical format to present similarities between said data items by positioning similar data items in proximity to one another in a display area. - View Dependent Claims (10)
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11. A computer implemented method of organizing data into a graphically oriented format, comprising the steps of:
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training processing elements of a projection map with attributes of data items so that said data items having similar attributes are assigned to a neighborhood of said processing elements in said projection map; identifying a closest match between said data items and said processing elements of said projection map by comparing said attributes of said data items with trained values of said processing elements of said projection map; storing said closest match in a first cross reference table; and displaying said first cross reference table in a graphical format to present similarities between said data items by positioning similar date items in proximity to one another in a display area. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A method of organizing data into a graphically oriented format, comprising the steps of:
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training synaptic elements of a neural network with attributes of data items from a database so that said data items having similar attributes are assigned to a neighborhood of neurons in said neural network; identifying a closest match between said data items and neurons of said neural network by comparing said attributes of said data items with trained values of said synaptic elements of said neurons of said neural network; and displaying said closest match in a graphical format to present similarities between said data items by positioning similar data items in proximity to one another in a display area. - View Dependent Claims (25, 26)
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Specification