Invention Grant
- Patent Title: Apparatus and method for generating prediction model based on artificial neural network
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Application No.: US15609593Application Date: 2017-05-31
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Publication No.: US11250308B2Publication Date: 2022-02-15
- Inventor: Jung Woo Lee , Hyeung Ill Lee
- Applicant: Seoul National University R&DB Foundation , eCubesolutions Co., Ltd.
- Applicant Address: KR Seoul; KR Seoul
- Assignee: Seoul National University R&DB Foundation,eCubesolutions Co., Ltd.
- Current Assignee: Seoul National University R&DB Foundation,eCubesolutions Co., Ltd.
- Current Assignee Address: KR Seoul; KR Seoul
- Agency: NSIP Law
- Priority: KR10-2016-0068326 20160601
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08

Abstract:
Disclosed is an apparatus for generating an artificial-neural-network-based prediction model. The apparatus includes an input data conversion unit configured to convert input data of an L-dimensional array (L is a natural number) into normalized vector data and input the normalized vector data, a modeling unit configured to model an artificial-neural-network-based prediction model for learning the input vector data and output a value predicted through the modeling, and an adjustment unit configured to compare the value predicted by the modeling unit with an actually measured value to calculate an error value and adjust learning parameters of an artificial neural network using the error value and a back-propagation algorithm.
Public/Granted literature
- US20170351948A1 APPARATUS AND METHOD FOR GENERATING PREDICTION MODEL BASED ON ARTIFICIAL NEURAL NETWORK Public/Granted day:2017-12-07
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