Results 91 to 100 of about 13,817 (251)

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Retracted: Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

AN IMPLEMENTATION OF FLEXIBLE RBF NEURAL NETWORKS

, 2009
Tese de mestrado, Informática, Universidade de Lisboa, Faculdade de Ciências ...
openaire   +2 more sources

State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning

Energy Conversion and Economics, EarlyView.
Abstract Accurate state of health (SOH) estimation is crucial for the safe operation of lithium‐ion batteries. To address the limited capability of traditional models in characterizing nonlinear degradation, this study proposes a novel data‐driven SOH estimation framework.
Yumin Zhang, Yongtao Liu, Pingfeng Ye, Xingquan Ji, Yunqi Wang, Kezhuang Xue, Xuchen Ma   +6 more
wiley   +1 more source

Retracted: Optimization and Simulation of Enterprise Management Resource Scheduling Based on the Radial Basis Function (RBF) Neural Network. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Residual Life Assessment of Oil‐Immersed Insulating Paper by FTIR Feature Interpretability Evolution

High Voltage, EarlyView.
ABSTRACT The ageing of insulating paper escalates the peril of insulation failure in oil‐impregnated‐paper power equipment. Consequently, the real‐time monitoring and non‐destructive assessment of insulating paper condition assume paramount significance.
Guangyi Liu, Yanan Liu, Chen Zhang, Jian Li, Zhengyong Huang, Feipeng Wang, Huaqiang Li, Jinghui Gao, Lisheng Zhong   +8 more
wiley   +1 more source

An RBF neural network based on improved black widow optimization algorithm for classification and regression problems. [PDF]

Front Neuroinform, 2022
Liu H, Zhou G, Zhou Y, Huang H, Wei X.
europepmc   +1 more source

Quantitative Structure–Property Relationship for High Flash Point of Ester Oil Molecules and Its Experimental Verification

High Voltage, EarlyView.
ABSTRACT With the increasing voltage of ester oil‐filled transformers and their application in offshore wind power, developing high‐performance, fire‐resistant esters is crucial for enhancing transformer safety. Flash point, a key indicator of fire‐resistant performance for esters, is directly related to the molecular structures.
Jingwen Zhang, Jian Hao, Per‐Olof Åstrand, Hongwei Li, Ruijin Liao   +4 more
wiley   +1 more source

A photosynthetic rate prediction model using improved RBF neural network. [PDF]

Sci Rep, 2022
Pu L, Li Y, Gao P, Zhang H, Hu J.
europepmc   +1 more source