Results 81 to 90 of about 3,244 (195)
Journal of Measurement Science and Instrumentation, 2018 In order to obtain the trend of urban rail transit traffic flow and grasp the fluctuation range of passenger flow better,this paper proposes a combined forecasting model of passenger flow fluctuation range based on fuzzy information granulation and least
TANG Min-an, ZHANG Kai, LIU Xing
doaj
A finder and representation system for knowledge carriers based on granular computing [PDF]
, 2017 In one of his publications Aristotle states ”All human beings by their nature desire to know” [Kraut 1991]. This desire is initiated the day we are born and accompanies us for the rest of our life.
Denzler, Alexander, Meier, Andreas
core
MathematicsTrajectory data are embedded within driving paths, GPS positioning systems, and mobile signaling information. A vast amount of trajectory data play a crucial role in the development of smart cities.
Yanjun Chen +3 more
doaj +1 more source
An Efficient Extreme Learning Machine Based on Fuzzy Information Granulation
International Journal of Emerging Technologies in Learning (iJET), 2017 In order to improve learning efficiency and generalization ability of extreme learning machine (ELM), an efficient extreme learning machine based on fuzzy information granulation (FIG) is put forward. The new approach not only improves the speed of basic ELM algorithm that contains many hidden nodes, but also overcomes the weakness of basic ELM of low ...
Yuehua Gao, Tianyi Chen
openaire +2 more sources
MathematicsAs an information granulation technology, clustering plays a pivotal role in unsupervised learning, serving as a fundamental cornerstone for various data mining techniques. The effective and accurate classification of data is a central focus for numerous
Weiwei Mao, Kaijie Xu
doaj +1 more source
Ain Shams Engineering JournalAccurate forecasting of financial distress, particularly corporate bankruptcy, remains a critical challenge due to the inherent non-linearity, volatility, and uncertainty in financial time series data. Existing approaches often struggle with overfitting,
Han Yan, Zheng Gao, Mohammad khishe
doaj +1 more source
A FIG-IWOA-BiGRU Model for Bus Passenger Flow Fluctuation Trend and Spatial Prediction
MathematicsTo capture bus passenger flow fluctuations and address the problems of slow convergence and high error in machine learning parameter optimization, this paper develops an improved Whale Optimization Algorithm (IWOA) integrated with a Bidirectional Gated ...
Jie Zhang +4 more
doaj +1 more source
An Efficient Extreme Learning Machine Based on Fuzzy Information Granulation
International Journal of Online and Biomedical Engineering (iJOE), 2015 In order to improve learning efficiency and generalization ability of extreme learning machine (ELM), an efficient extreme learning machine based on fuzzy information granulation (FIG) is put forward. Firstly, using FIG to get rid of redundant information in the original data set and then ELM is used to do train granulated data for prediction.
Xia-fu Lv +4 more
openaire +2 more sources
Advances in Mechanical EngineeringProviding accurate electricity load forecasts is crucial for ensuring a cleaner and more sustainable environment, as these forecasts enable the balancing of energy supply and demand, reduce unnecessary reserve capacity requirements and lower dependence ...
İlayda Kaptan, İnayet Özge Aksu
doaj +1 more source
Prediction and analysis of time series data based on granular computing. [PDF]
Front Comput Neurosci, 2023 Yin Y.
europepmc +1 more source