40 Result(s)

Article

Building an Associative Classifier Based on Fuzzy Association Rules

Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called “sharp boundary” problem in association rules mining with quantitative attr...

Zuoliang Chen, Guoqing Chen in International Journal of Computational Intelligence Systems (2008)

Article

Novel Robust Stability Criteria For Uncertain Stochastic Neural Networks with Time-Varying Delay

This paper considers the robust stability analysis problem for a class of uncertain stochastic neural networks with time-varying delay. Based on the Lyapunov functional method, and by resorting to the new tech...

Yonggang Chen, Yunrui Guo, Wenlin Li in International Journal of Computational Int… (2009)

Article

Combining Resting-state fMRI and DTI Analysis for Early-onset Schizophrenia

We combined measures of resting-state functional magnetic resonance imaging and diffusion tensor imaging (DTI) to investigate alterations of function-structure relationships in patients with early-onset schizo...

Ming Ke, Hui Shen, **tu Fan, **ng Huang… in International Journal of Computational Int… (2009)

Article

Extremal Optimization Combined with LM Gradient Search for MLP Network Learning

Gradient search based neural network training algorithm may suffer from local optimum, poor generalization and slow convergence. In this study, a novel Memetic Algorithm based hybrid method with the integratio...

Peng Chen, Yong-Zai Lu, Yu-Wang Chen in International Journal of Computational Int… (2010)

Article

A Deterministic Algorithm for Min-max and Max-min Linear Fractional Programming Problems

In this paper, a deterministic global optimization algorithm is proposed for solving min-max and max-min linear fractional programming problem (P) which have broad applications in engineering, management scien...

Qigao Feng, Hongwei Jiao, Han** Mao… in International Journal of Computational Int… (2011)

Article

A New Approach to High-accuracy Road Orthophoto Map** Based on Wavelet Transform

Existing orthophoto map based on satellite photography and aerial photography is not precise enough for road marking. This paper proposes a new approach to high-accuracy orthophoto map**. The approach uses i...

Ming Yang, Chunxiang Wang, Fang Chen… in International Journal of Computational Int… (2011)

Article

Bivariate analysis of typical hydrological series of the yellow river

This paper uses Gumbel-Hougaard (G-H) copula, Clayton copula and Frank copula to construct joint distributions of hydrological variables of the two typical stations on the Yellow River Region, including the an...

**n Tong, Dong Wang, Jichun Wu… in International Journal of Computational Int… (2014)

Article

The Evidential Reasoning Approach to Medical Diagnosis using Intuitionistic Fuzzy Dempster-Shafer Theory

For medical diagnosis, fuzzy Dempster-Shafer theory is extended to model domain knowledge under probabilistic and fuzzy uncertainty. However, there are some information loss using discrete fuzzy sets and tradi...

Yanni Wang, Ya** Dai, Yu-wang Chen… in International Journal of Computational Int… (2015)

Article

Interval-valued Evidence Updating with Reliability and Sensitivity Analysis for Fault Diagnosis

Information fusion methods based on Dempster-Shafer evidence theory (DST) have been widely used in fault diagnosis. In DST-based methods, the monitoring information collected from sensors is modeled as multipl...

**aobin Xu, Zhen Zhang, Dongling Xu… in International Journal of Computational Int… (2016)

Article

Guest editorial: special issue on evolutionary optimization, feature reduction and learning

Bing Xue, Gang Chen in Soft Computing (2016)

Article

Research on Vertical Coupling Dynamics of Monorail Vehicle at Finger-Band

In view of the fact that exhibits monorail transportation in recent years, the good situation and the lack of straddle-type monorail vehicle vertical dynamics research, the key problems of vertical vibration w...

Zhouzhou Xu, Zixue Du, Zhen Yang, Liang Chen in Urban Rail Transit (2017)

Article

Granular computing in machine learning

Degang Chen, Weihua Xu, **hai Li in Granular Computing (2019)

Article

Special issue on Machine learning approaches and challenges of missing data in the era of big data

Gwanggil Jeon, Arun Kumar Sangaiah… in International Journal of Machine Learning … (2019)

Article

Collaborative filtering recommendation algorithm based on user correlation and evolutionary clustering

In recent years, application of recommendation algorithm in real life such as Amazon, Taobao is getting universal, but it is not perfect yet. A few problems need to be solved such as sparse data and low recomm...

Jianrui Chen, Chunxia Zhao, Uliji, Lifang Chen in Complex & Intelligent Systems (2020)

Article

A cooperative coevolution algorithm for complex hybrid seru-system scheduling optimization

Under the current volatile business environment, the requirement of flexible production is becoming increasingly urgent. As an innovative production mode, seru-system with reconfigurability can overcome the lack ...

Yuting Wu, Ling Wang, **g-fang Chen in Complex & Intelligent Systems (2021)

Article

An effective matching algorithm with adaptive tie-breaking strategy for online food delivery problem

With the prosperity of e-commerce, ordering food online has become increasingly prevalent nowadays. Derived from the dispatching problem in Meituan, a real online food delivery (OFD) platform in China, this pa...

**g-fang Chen, Ling Wang, Shengyao Wang, **ng Wang… in Complex & Intelligent Systems (2022)

Article

A two-agent one-machine multitasking scheduling problem solving by exact and metaheuristics

This paper studies a single-machine multitasking scheduling problem together with two-agent consideration. The objective is to look for an optimal schedule to minimize the total tardiness of one agent subject ...

Chin-Chia Wu, Ameni Azzouz, Jia-Yang Chen, Jianyou Xu… in Complex & Intelligent Systems (2022)

Article

Knowledge from the original network: restore a better pruned network with knowledge distillation

To deploy deep neural networks to edge devices with limited computation and storage costs, model compression is necessary for the application of deep learning. Pruning, as a traditional way of model compressio...

Liyang Chen, Yongquan Chen, Juntong **, **nyi Le in Complex & Intelligent Systems (2022)

Article

An improved weighted optimization approach for large-scale global optimization

It is a great challenge for ordinary evolutionary algorithms (EAs) to tackle large-scale global optimization (LSGO) problems which involve over hundreds or thousands of decision variables. In this paper, we pr...

Minyang Chen, Wei Du, Wenjiang Song, Chen Liang, Yang Tang in Complex & Intelligent Systems (2022)

Article

Design of sampling-based noniterative algorithms for centroid type-reduction of general type-2 fuzzy logic systems

General type-2 (GT2) fuzzy logic systems (FLSs) become a popular research topic for the past few years. Usually the Karnik–Mendel algorithms are the most prevalent approach to complete the type-reduction. None...

Yang Chen in Complex & Intelligent Systems (2022)