Modeling patent legal value by Extension Neural Network

Authors:
Yi-Hsuan Lai;Hui-Chung Che
Affiliations:
Institute of Technology Management, Chung Hua University, 707, Sec.2, WuFu Rd., HsinChu, 300 Taiwan, ROC;Institute of Technology Management, Chung Hua University, 707, Sec.2, WuFu Rd., HsinChu, 300 Taiwan, ROC and Gainia Intellectual Asset Services, Inc., R316, Bldg.52, 195 Chung Hsing Rd., Sec.4 Chu ...
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 2
Cited 3

Extension neural network and its applications

Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Using AHP in patent valuation

Mathematical and Computer Modelling: An International Journal

A patent quality analysis for innovative technology and product development

Advanced Engineering Informatics
Identifying patent infringement using SAO based semantic technological similarities

Scientometrics
A new ensemble method for gold mining problems: Predicting technology transfer

Electronic Commerce Research and Applications

Quantified Score

Hi-index	12.05

Visualization

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. Sixty-five effective samples were extracted from 4289 patent related lawsuits retrieved in US district courts of Delaware, California and Texas. Seventeen quantitative patent indicators for describing dimensions of patents were summarized. The Extension Neural Network incorporated with the factor analysis was applied to construct the valuation model of patent indicators and damage awards. The proposed valuation model was validated to have the predictive power by error analysis and was accommodated to valuate the possible damage award or to negotiate the settlement fee in disputing patent infringement suits. It also contributed to patent transaction deal, patent licensing, hypothecation of intangible assets, and shareholding by patent-based technologies, etc.