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8 articles

Synchronization of Delayed Inertial Cohen–Grossberg Neural Networks Under Adaptive Feedback Controller

Qun Huang, Jinde Cao, Qingshan Liu
Pages: 472 - 478
This paper investigates the issue on adaptive synchronization of delayed inertial Cohen–Grossberg neural networks (ICGNNs). By adopting the method of variable transformation, the addressed model, which includes the so-called inertial term, is transformed into first-order differential equations. On the...

Technology State Control Based on Multi-source Heterogeneous Data Fusion in Manufacturing

Jie Yu, Shenggao Gu, Wei Zhang
Pages: 638 - 644
The technology state is determined not by a single data, but by multiple data sources that has a certain degree of uncertainty and ambiguity, and even be contradictory which is difficult to support decision-making effectively. In this paper, an efficient intelligent decision-making method based on multi-source...

A Neural Network for Moore–Penrose Inverse of Time-Varying Complex-Valued Matrices

Yiyuan Chai, Haojin Li, Defeng Qiao, Sitian Qin, Jiqiang Feng
Pages: 663 - 671
The Moore–Penrose inverse of a matrix plays a very important role in practical applications. In general, it is not easy to immediately solve the Moore–Penrose inverse of a matrix, especially for solving the Moore–Penrose inverse of a complex-valued matrix in time-varying situations. To solve this problem...

A Novel Density Peaks Clustering Algorithm Based on Local Reachability Density

Hanqing Wang, Bin Zhou, Jianyong Zhang, Ruixue Cheng
Pages: 690 - 697
A novel clustering algorithm named local reachability density peaks clustering (LRDPC) which uses local reachability density to improve the performance of the density peaks clustering algorithm (DPC) is proposed in this paper. This algorithm enhances robustness by removing the cutoff distance dc which...

Optimizing Production Mix Involving Linear Programming with Fuzzy Resources and Fuzzy Constraints

B.O. Onasanya, Y. Feng, Z. Wang, O.V. Samakin, S. Wu, X. Liu
Pages: 727 - 733
In this paper, Fuzzy Linear Programming (FLP) was used to model the production processes at a university-based bakery for optimal decisions in the daily productions of the bakery. Using the production data of five products from the bakery, a fuzzy linear programme was developed to help make decisions...

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering

Xiangguang Dai, Nian Zhang, Keke Zhang, Jiang Xiong
Pages: 734 - 743
Conventional nonnegative matrix factorization and its variants cannot separate the noise data space into a clean space and learn an effective low-dimensional subspace from Salt and Pepper noise or Contiguous Occlusion. This paper proposes a weighted nonnegative matrix factorization (WNMF) to improve...

An Intelligent Traffic Light System Using Object Detection and Evolutionary Algorithm for Alleviating Traffic Congestion in Hong Kong

Sin-Chun Ng, Chok-Pang Kwok
Pages: 802 - 809
High traffic flow is a typical characteristic of a mobilized city with a high population. Efficient traffic management is a proper solution to reduce the stress and anxiety associated with driving or traveling. The road users can have better timing for traveling as they will not experience journey delays...

Application of Fuzzy C-Mean Clustering Based on Multi-Polar Fuzzy Entropy Improvement in Dynamic Truck Scale Cheating Recognition

Zhenyu Lu, Xianyun Huang
Pages: 1590 - 1597
In the big data background, the uncertainty of data is increasingly apparent. Multi-polar fuzzy feature of data has been more popularly used by the research community for the purpose of the classification of weighing cheating in dynamic truck scale characteristic and the clustering problem of multi-polar...