Neural network based database scanning system
First Claim
1. A database scanning pattern recognition device capable of scanning a database for any set of n data values having a predetermined pattern, comprising:
- a first neural network including a knowledge domain defined by the predetermined pattern, said first neural network including n inputs and at least one output, said first neural network operable to output a predetermined output in response to a given set of n inputs if said given set of n inputs falls within said knowledge domain thereof,means for applying a series of sets of n data values from said database to said first neural network as inputs thereto.
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Abstract
Constructing and simulating artificial neural networks and components thereof within a spreadsheet environment results in user friendly neural networks which do not require algorithmic based software in order to train or operate. Such neural networks can be easily cascaded to form complex neural networks and neural network systems, including neural networks capable of self-organizing so as to self-train within a spreadsheet, neural networks which train simultaneously within a spreadsheet, and neural networks capable of autonomously moving, monitoring, analyzing, and altering data within a spreadsheet. Neural networks can also be cascaded together in self training neural network form to achieve a device prototyping system.
49 Citations
2 Claims
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1. A database scanning pattern recognition device capable of scanning a database for any set of n data values having a predetermined pattern, comprising:
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a first neural network including a knowledge domain defined by the predetermined pattern, said first neural network including n inputs and at least one output, said first neural network operable to output a predetermined output in response to a given set of n inputs if said given set of n inputs falls within said knowledge domain thereof, means for applying a series of sets of n data values from said database to said first neural network as inputs thereto. - View Dependent Claims (2)
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Specification