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US 2004/0172375 A1Published application
Method for determining the permitted working range of a neural network
AssigneeBayer Aktiengesellschaft
InventorsGeorg Mogk, Thomas Mrziglod, Peter Hubl
Life of this patent
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Abstract
A method for checking whether an input data record is in the permitted working range of a neural networkin which a definition of the complex envelope which is formed by the training input records of the neural network, and of its surroundings as the permitted working range of a neural network and checking whether the input data record is in the convex envelope.
Claims10
A method for checking whether an input data record is in a working range of a neural network, comprising the following steps:
- (a) storing training input data records for the neural network, forming a convex envelope being formed by means of the training input data records,
- (b) checking whether the input data record is in the convex envelope.
A system for determining at least one predicted value, comprising
- at least one neural network which has been trained using a set of training input data records,
- means for checking whether one of the input data record for the neural network is in the convex envelope which is formed by the training input data records.
Dependencies are inferred from the claim text.