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US Patent 7406451 Method for training neural networks

Patent 7406451 was granted and assigned to Bayer on July, 2008 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Current Assignee
Bayer
Bayer
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
74064510
Patent Inventor Names
Georg Mogk0
Thomas Mrziglod0
Date of Patent
July 29, 2008
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Patent Application Number
108065940
Date Filed
March 23, 2004
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Patent Citations Received
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US Patent 12093148 Neural network quantization parameter determination method and related products
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US Patent 11762690 Data processing method and related products
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US Patent 11789847 On-chip code breakpoint debugging method, on-chip processor, and chip breakpoint debugging system
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US Patent 11934940 AI processor simulation
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US Patent 11966583 Data pre-processing method and device, and related computer device and storage medium
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US Patent 12073215 Computing device with a conversion unit to convert data values between various sizes of fixed-point and floating-point data
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US Patent 11663002 Computing device and method
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US Patent 11675676 Neural network quantization parameter determination method and related products
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Patent Primary Examiner
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Wilbert L. Starks, Jr.
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Patent abstract

The invention relates to a system and a method for training a number of neural networks, by determining a first training data record, wherein the training data have a particular accuracy, generating a number of second data training records by perturbing the first training data record with a random variable, and training each of the neural networks with one of the training data records. A prognosis and an estimation of the prognosis error can be carried out by means of such a system.

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