On Evaluation Model of Green Technology Innovation Capability of Pulp and Paper Enterprise Based on Support Vector Machines

Zhi Fang Zhou

doi:10.4028/www.scientific.net/AMR.886.285

Paper Titles

Characteristics of Heavy Metals Pollution in Roadside Dusts in Chang'an Street of Beijing City
p.266

Occupational Exposure Assessment of CaCO₃Nanoparticles Using a Multi-Metrics Approach
p.271

Enrichment and Detection of Dichlorvos and Methamidophos on Carbon Nanotubes
p.275

Research on Applied Technology and Tidal Current Control with Numerical Simulation of Pulandian Bay
p.281

On Evaluation Model of Green Technology Innovation Capability of Pulp and Paper Enterprise Based on Support Vector Machines
p.285

Selection and Application of Green Packaging Materials
p.289

Growth and Development of Feijoa with Different Plant Shape and in Greenhouses Environment
p.294

Biological Species and Environment Study on Overwintering Protection of Raspberries and Blackberries and their Growing and Development
p.299

Different Rootstocks and Physiological and Biochemical Change of SUM Cherry in Greenhouse Environment
p.304

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 886On Evaluation Model of Green Technology Innovation...

On Evaluation Model of Green Technology Innovation Capability of Pulp and Paper Enterprise Based on Support Vector Machines

Abstract:

Based on the analysis of the concept of green technology innovation capability, this paper not only structures the evaluation index system of green technology innovation capability in pulp and paper enterprises, builds the evaluation model of green technology innovation capability for pulp and paper enterprises based on Support Vector Machines with Radial Basis Function kernel, but also achieves the optimization of kernel function parameters, penalty factors and insensitive parameters based on a heuristic algorithm for tuning hyper-parameters. This model is more suitable for pulp and paper enterprises to evaluate green technology innovation capability, compared with the evaluation method of BP neural network.

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Periodical:

Advanced Materials Research (Volume 886)

Pages:

285-288

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.886.285

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Online since:

January 2014

Authors:

Zhi Fang Zhou

Keywords:

Evaluation Model, Green Technology Innovation Capability, Pulp and Paper Enterprise, Support Vector Machine (SVM)

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