- Vola Federico,Benedetto Vera,Vainieri Milena,Nuti Sabina. The Italian interregional performance evaluation system[J]. Research in Health Services & Regions,2022,1(1).Google Scholar
- Jeon Kwang Sub. A Study on Project Goals and Performance Evaluation System in Urban Regeneration Project Evaluation System[J]. Korea Real Estate Academy,2019,79.Google Scholar
- Lv Qingqing. Research on performance evaluation of agricultural cold chain logistics enterprises [J]. China Collective Economy. 2019 (02): 131-132Google Scholar
- Sheng Zhonghua. Research on performance evaluation of agricultural cold chain logistics enterprises [D]. Shandong: Shandong University of Technology, 2018Google Scholar
- Fu Yanmei. Research on performance evaluation of cold chain logistics enterprises [D].Google Scholar
- Sasaki Aiichiro. Effectiveness of Artificial Neural Networks for Solving Inverse Problems in Magnetic Field-Based Localization[J]. Sensors,2022,22(6).Google Scholar
- Kommula Bapayya Naidu,Kota Venkata Reddy. An Effective Sustainable Control of Brushless DC Motor using Firefly Algorithm – Artificial Neural Network based FOPID Controller[J]. Sustainable Energy Technologies and Assessments,2022,52(PB).Google Scholar
- Tang Jun, Zhao Bo, Li Wenxing. Prediction of wear state of disc shaped milling cutter based on genetic algorithm and BP neural network [J]. Journal of Henan University of Technology: Natural Science Edition, 2017, (5): 66-7Google Scholar
- Bi Yunfan, Zhang Jian, Xu Xiaohui, Sun Wenhui, Zhang Zhisheng. Electric short-term load forecasting model based on gradient lifting decision tree [J]. Journal of Qingdao University: Engineering Technology Edition, 2018,33 (3): 70-75Google Scholar
Index Terms
- Performance evaluation of agricultural logistics enterprises based on GA algorithm
Recommendations
Research on Performance Evaluation of Logistics Enterprises Based on the Balanced Scorecard
ICICTA '10: Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation - Volume 03In order to make a comprehensive, scientific, systematic performance evaluation of logistics enterprises, this paper firstly aims at the inherent characteristics of logistics enterprises, expands the original four perspectives of the balanced scorecard (...
Performance evaluation of state-owned enterprises based on fuzzy neural network combination model
AbstractFuzzy neural networks have seen an increasing presence in state-owned enterprise performance evaluation. Fuzzy-based financial and non-financial indicators are combined to evaluate state-owned enterprise performance. In this paper, a combination ...
An efficient adaptive genetic algorithm technique to improve the neural network performance with aid of adaptive GA operators
The neural network (NN) performance improvement is one of the major topics. Thus an adaptive genetic algorithm (AGA) technique is proposed by making adaptive with respect to genetic operators like crossover and mutation. Our adaptive GA technique starts ...
Comments