Study on the evaluation of regional technology innovation ability system and regional differences based on RBF neural network

被引：0
|
作者：
Kang, Shiying [1 ]
Zhang, Weichu [1 ]
机构：
[1] Chongqing Technol & Business Univ, Sch Comp Sci & Informat Engn, Chongqing 400067, Peoples R China
来源：
ISMOT'07: Proceedings of the Fifth International Symposium on Management of Technology, Vols 1 and 2: MANAGING TOTAL INNOVATION AND OPEN INNOVATION IN THE 21ST CENTURY | 2007年
关键词：
radial basis function (RBF) artificial neural network; nearest neighbor-clustering algorithm; technical innovation; ability; regional differences;
D O I：
暂无
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Regional innovation ability is the vital support force for the sustainable development of regional economy. This paper selects 31 provinces and cities, 20 primitive indexes, make the Self-Adaptive RBF Neural Network evaluation on the regional innovation capacity. Discusses the reason to the. difference and its countermeasure in east, middle and west areas on the basis of the appraisal and analysis to various region technology innovation ability and difference synthetically, and provides the basis to formulate region economy and technological development policy in various areas especially Midwest.
引用
收藏
页码：827 / 831
页数：5
相关论文
共 50 条
  • [1] A Research on Evaluation of Regional Technological Innovation Ability Based on BP Neural Network
    Yan-ping, Yang
    [J]. 2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 5523 - 5526
  • [2] RETRACTED: Evaluation of Regional Economic Innovation Ability Based on Neural Network (Retracted Article)
    Song, Tingting
    Wang, Jiaying
    Feng, Nan
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [3] The Evaluation of the Regional Technology Innovation Ability Based on Grey Relational Analysis
    Liu, Liqin
    Liu, Yuehong
    [J]. TWELFTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, 2013, : 604 - 610
  • [4] Empirical Research on Regional Technology Innovation Ability Based on Consistency Combination Evaluation
    Li Meijuan
    Chen Guohong
    Xiao Xifeng
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 12900 - 12903
  • [5] THE ESTABLISHMENT AND APPLICATION OF EVALUATION SYSTEM FOR REGIONAL INNOVATION ABILITY
    Du, Wei
    Yang, Zhijiang
    Luo, Zhanghua
    Xia, Guoping
    [J]. ICIM2012: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANAGEMENT, 2012, : 269 - 274
  • [6] Study on Identification for the Evaluation Indicator System of the Regional Technology Innovation Capability
    Chen, Guo hong
    Xiao, Xi feng
    Li, Mei juan
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 12890 - 12893
  • [7] The Comparative Study on Bohai Rim Regional Technology Innovation Ability
    Huang Zilang
    Zhang Yaming
    Liu Zhuo
    [J]. 2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012), 2012, 33 : 294 - 300
  • [8] Research on the comprehensive evaluation of firms' technology innovation ability based on neural network
    Hao, Yunhong
    Li, Wenbo
    [J]. ISMOT'07: Proceedings of the Fifth International Symposium on Management of Technology, Vols 1 and 2: MANAGING TOTAL INNOVATION AND OPEN INNOVATION IN THE 21ST CENTURY, 2007, : 413 - 416
  • [9] Regional Foresight as a Technology for Development of The Regional Innovation System
    Rodionov, Dmitry
    Rudskaia, Irina
    Degtcreva, Viktoriia
    [J]. SUSTAINABLE ECONOMIC GROWTH, EDUCATION EXCELLENCE, AND INNOVATION MANAGEMENT THROUGH VISION 2020, VOLS I-VII, 2017, : 2699 - +
  • [10] The regional innovation system in Sweden: A study of regional clusters for the development of high technology
    Park S.-C.
    Lee S.-K.
    [J]. AI & SOCIETY, 2004, 18 (3) : 276 - 292
12345