AccScience Publishing / IJOSI / Volume 1 / Issue 1 / DOI: 10.6977/IJoSI.201001_1(1).0003
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Assessment of Patent Legal Value by Regression and Back-Propagation Neural Network

Hui-Chung Che1 ,  Yi-Hsuan Lai, Szu-Yi Wang2
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1 Gainia Intellectual Asset Services, Inc., TW
2 Institute of Technology Management, Chung Hua University, TW
IJOSI 2010 , 1(1), 32–48; https://doi.org/10.6977/IJoSI.201001_1(1).0003
Submitted: 5 April 2009 | Revised: 18 March 2016 | Accepted: 5 April 2009 | Published: 7 January 2010
© 2010 by the Authors. Licensee AccScience Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

This study aimed at the basis of patent law and proposed a revolutionary valuation model for the monetary legal value of patents. The damage award of a patent infringement lawsuit was deemed to be the legal value of a patent. 65 Effective samples of infringement lawsuits were extracted from 4,289 patent related lawsuits which were retrieved in U.S. district courts of Delaware, California and Texas. 17 patent indicators were summarized to quantitatively describe dimensions of patents. The linear regression analysis was applied to discuss the linear relationship between each patent indicator and the damage award; finally 7 significant patent indicators were derived. The Back-Propagation Neural Network was then applied to construct the nonlinear valuation model of patent legal value, wherein the 7 significant patent indicators were the input variables and the damage award was the output variable. The proposed patent valuation model was validated to have the predictive power by error analysis. It accommodated to valuate the possible damage award or to negotiate the settlement fee for disputing patent infringement lawsuits. 

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International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing
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