A5081848543- Fuzzy Systems and Optimization
- Multi-Criteria Decision Making
- Face and Expression Recognition
- Rough Sets and Fuzzy Logic
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Water resources management and optimization
- Advanced Algorithms and Applications
- Water-Energy-Food Nexus Studies
- Fuzzy and Soft Set Theory
- Water Systems and Optimization
- Functional Equations Stability Results
- Evaluation Methods in Various Fields
- Fixed Point Theorems Analysis
- Optimization and Mathematical Programming
- Advanced Decision-Making Techniques
- Approximation Theory and Sequence Spaces
- Risk and Safety Analysis
- Advanced Computational Techniques and Applications
- Text and Document Classification Technologies
- Mathematics, Computing, and Information Processing
- Remote-Sensing Image Classification
- Advanced Clustering Algorithms Research
- Evaluation and Optimization Models
- Handwritten Text Recognition Techniques
Hebei University of Engineering
2011-2023
Hebei University
2005-2022
Hebei University of Science and Technology
2012
Hebei Agricultural University
2003
Harbin Institute of Technology
1993-1998
How to reduce the accidents of hazardous materials has become an important and urgent research topic in safety management materials. In this study, we focus on half open multi-depot heterogeneous vehicle routing problem for transportation. The goal is determine allocation optimal route with minimum risk cost A novel transportation model presented considering variation loading, types, category. order balance cost, propose a bi-objective mixed integer programming model. hybrid intelligent...
Prior knowledge, such as wind speed probability distribution based on historical data and the fluctuation between maximal value minimal in a certain period of time, provides much more information about speed, so it is necessary to incorporate into prediction. First, method estimating proposed Bernoulli’s law large numbers. Second, order describe estimated by incorporated training testing data. Third, support vector regression model for prediction standard regression. At last, experiments...
In order to formulate water allocation schemes under uncertainties in the resources management systems, an inexact multistage stochastic chance constrained programming (IMSCCP) model is proposed. The integrates programming, and within a general optimization framework handle occurring both constraints objective. These are expressed as probability distributions, interval with multiply distributed boundaries, dynamic features of long-term plans, so on. Compared existing IMSCCP can be used...
Reasonable transportation risk models are conducive to achieving the green reform of hazardous material logistics industry. However, existing multi-depot vehicle routing programming for may result in overemphasis on either global or local risk. To overcome such shortcomings, we develop two novel two-stage that consider weight variety measures. The ordered weighted averaging risk-based model effectively reduces both and maximum with respect distribution aggregation process risks, state...
A novel support vector machine (SVM) with weighted features is proposed. To assign appropriate weights for each feature, a mutual information (MI) based approach presented. Although the calculation of feature may add an extra computational cost, proposed method generally exhibits better generalization performance over traditional SVM. The numerical studies on one synthetic and five existing benchmark classification problems confirm benefits in using method.
When dealing with large data sets, the traditional support vector machine (SVM) needs long training time which is aroused by complexity of computation for kernel function. Moreover, if there are noises in a given set, classification accuracy rate SVM usually low. To overcome shortcomings above, algorithm based on half-suppressed fuzzy c-means clustering (HSFCM) proposed. There two phases proposed algorithm. First, samples each classes clustered HSFCM. Second, trained only cluster centers...