Results 1 to 10 of about 110,015 (262)
Rule-ranking method based on item utility in adaptive rule model [PDF]
PeerJ Computer Science, 2022 Background Decision-making is an important part of most human activities regardless of their daily activities, profession, or political inclination. Some decisions are relatively simple specifically when the consequences are insignificant while others ...
Erna Hikmawati +2 more
doaj +5 more sources
Feature-Based and Adaptive Rule Adaptation in Dynamic Environments [PDF]
Data Science and Engineering, 2020 Rule-based systems have been used increasingly to augment learning algorithms for annotating data. Rules alleviate many of the shortcomings inherent in pure algorithmic approaches, in cases algorithms are not working well or lack from enough training ...
Alireza Tabebordbar +3 more
doaj +2 more sources
Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting [PDF]
PeerJ Computer ScienceIn rapidly changing scenarios, uncertainty and chaotic oscillations often obstruct time series prediction. However, Type-1 fuzzy systems face challenges in handling high uncertainty levels, therefore, Type-2 fuzzy systems become a better solution ...
Abdulwhab Alkharashi +7 more
doaj +3 more sources
Trajectory Tracking with Adaptive Robust Control for Quadrotor
Applied Sciences, 2021 This work proposes three robust mechanisms based on the MIT rule and the sliding-mode techniques. These robust mechanisms have to tune the gains of an adaptive Proportional-Derivative controller to steer a quadrotor in a predefined trajectory.
Tadeo Espinoza-Fraire +4 more
doaj +1 more source
Pruning Strategy on Adaptive Rule Model by Sorting Utility Items
IEEE Access, 2022 The adaptive Rule Model is an association rule development that formulates a minimum threshold value according to the data characteristics. The formulation process is based on item frequency and utility for other considerations, which requires high ...
Erna Hikmawati +2 more
doaj +1 more source
Electronic Management Technology and Application of Structured Intelligent Stability Limit
Shanghai Jiaotong Daxue xuebao, 2021 This paper proposes an intelligent stability quota management technology based on structured rule strategy library, designs a set of automatic identification of section rules and adaptive adjustment methods of quota based on structured rule library, and ...
WU Xin, SUN Hui, WANG Jin
doaj +1 more source
An Adaptive STDP Learning Rule for Neuromorphic Systems
Frontiers in Neuroscience, 2021 The promise of neuromorphic computing to develop ultra-low-power intelligent devices lies in its ability to localize information processing and memory storage in synaptic circuits much like the synapses in the brain. Spiking neural networks modeled using
Ashish Gautam, Takashi Kohno
doaj +1 more source
Minimum threshold determination method based on dataset characteristics in association rule mining
Journal of Big Data, 2021 Association rule mining is a technique that is widely used in data mining. This technique is used to identify interesting relationships between sets of items in a dataset and predict associative behavior for new data.
Erna Hikmawati +2 more
doaj +1 more source
Attuning Adaptation Rules via a Rule-Specific Neural Network
, 2022 There have been a number of approaches to employing neural networks (NNs) in self-adaptive systems; in many cases, generic NNs/deep learning are utilized for this purpose. When this approach is to be applied to improve an adaptation process initially driven by logical adaptation rules, the problem is that (1) these rules represent a significant and ...
Bureš, Tomáš +8 more
openaire +2 more sources
Adaptive rule: A novel framework for recommender system
ICT Express, 2020 Determining minimum support value on association rule is not easy to users. Hurdles such as data locations and data origins are a mountain that should be overcome by association rule.
Erna Hikmawati +2 more
doaj +1 more source