This paper presents a methodology for generating a fuzzy inference mechanism (FIM) for
recognizing contact states within robotic part mating using active compliant motion. In the …

对复杂, 病态, 非线性动态系统进行故障预报的重点和难点是建立系统故障状况的数学模型,
通常难以建立精确的数学模型, 相比之下构建其模糊模型是一个有效途径 …

This paper proposed a model to predict the stock price based on combining Self-Organizing
Map (SOM) and fuzzy-Support Vector Machines (f-SVM). Extraction of fuzzy rules from raw …

The increasing challenges and complexity of business environments are making business
decisions and operations more difficult for entrepreneurs to predict the outcomes of these …

Microarray analysis and gene expression profile have been widely used in tumor
classification, survival analysis and ER statues of breast cancer. Sample discrimination as …

Consistent monitoring of vital health parameters is an important issue in the medical
industry. With recent technologies we are able to carry out remote monitoring of …

Bridging the gap between the literatures on industrial change and human capital
externalities we investigate the complementarity between aggregate regional education and …

Support vector machines (SVMs) and fuzzy rule systems are functionally equivalent under
some conditions. Therefore, the learning algorithms developed in the field of support vector …

In this paper, we address the lack of interpretability of Support Vector Machine (SVM) via
rules based on support vectors. The lack of intuitive explanation of the rules in the domain of …

TÓM TẮT Bài báo này đề xuất ứng dụng mô hình kết hợp máy học véc-tơ tựa và hệ thống
mờ trong việc trích xuất luật mờ từ dữ liệu điểm sinh viên. áy học Véc-tơ tựa SV s và hệ …