New methods of fuzzy sampled-data control for stabilization of chaotic systems

TH Lee, JH Park - IEEE Transactions on Systems, Man, and …, 2017 - ieeexplore.ieee.org
This paper focuses on developing new design methods of the sampled-data controller for
chaotic systems which are represented as Takagi-Sugeno (TS) fuzzy models. Two novel …

Inferring implicit rules by learning explicit and hidden item dependency

S Wang, L Cao - IEEE Transactions on Systems, Man, and …, 2017 - ieeexplore.ieee.org
Revealing complex relations between entities (eg, items within or between transactions) is of
great significance for business optimization, prediction, and decision making. Such relations …

Soil microbial dynamics prediction using machine learning regression methods

SK Jha, Z Ahmad - Computers and Electronics in Agriculture, 2018 - Elsevier
Soil microbial dynamics is significant for the soil productivity. The present study explores the
application of machine learning based regression methods in the prediction of selected soil …

基于TS 模糊模型的采样系统鲁棒耗散控制

练红海, 肖伸平, 罗毅平, 周笔锋 - 自动化学报, 2022 - aas.net.cn
基于<b>TS</b>模糊模型的采样系统鲁棒耗散控制 E-mail Alert RSS 2.765 2022影响因子 (CJCR)
中文核心 EI 中国科技核心 Scopus CSCD 英国科学文摘 首页 期刊介绍 1.基本信息 2.收录与 …

Development of Kansei Engineering-based System for Agro-industry (KESAN) for Worker Trust Assessment in Food Small Medium-sized Enterprises

M Ushada, NAS Putro, T Wijayanto… - … Environment and Food, 2020 - jstage.jst.go.jp
Trust influenced the attractiveness of ergonomic programs to Small Medium-sized
Enterprises (SMEs) workers as individuals and groups as the collective. A framework of …

Learning complex relations for session-based recommendations

S Wang - 2019 - opus.lib.uts.edu.au
In the era of big data, recommender systems (RSs) are a powerful engine to promote
intelligent life by helping humans to make decisions concerning their daily necessities (eg …

[引用][C] THE DEVELOPMENT OF MENTAL MODELS TEST ON HEAT AND TEMPERATURE

R Priyadi, M Diantoro, P Parno - EDUSAINS, 2019