[图书][B] Fuzzy graph theory
S Mathew, JN Mordeson, DS Malik - 2018 - Springer
Lotfi Zadeh introduced the concept of a fuzzy subset of a set in 1965 as a way to represent
uncertainty. His ideas have motivated the interest of researchers worldwide. One such …
uncertainty. His ideas have motivated the interest of researchers worldwide. One such …
[PDF][PDF] Fuzzy neural system application to differential diagnosis of erythemato-squamous diseases
BACKGROUND/AIMS In medicine, one of the most important applications of intelligent
systems is the fuzzy neural network (FNN) framework, which can be used in the diagnosis …
systems is the fuzzy neural network (FNN) framework, which can be used in the diagnosis …
An efficient optimization method for improving generalization performance of fuzzy neural networks
H Han, X Wu, H Liu, J Qiao - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
Fuzzy neural networks (FNNs), with suitable structures, have been demonstrated to be an
effective tool in approximating nonlinearity between input and output variables. However, it …
effective tool in approximating nonlinearity between input and output variables. However, it …
Maintenance decision methodology of petrochemical plant based on fuzzy curvelet neural network
B Zhao, S Chen, Y Wang, J Li - Applied Soft Computing, 2018 - Elsevier
The maintenance decision of petrochemical plant is a main factor to ensure the reliability
and safety of petrochemical plant, in order to make the optimal maintenance decision of …
and safety of petrochemical plant, in order to make the optimal maintenance decision of …
Time Series Forecasting Based on Wavelet Decomposition and Correlation Feature Subset Selection
EA Ahmed, SFB Kamarulzaman… - Advanced Science …, 2018 - ingentaconnect.com
Due to the possibility of extracting the features of data through wavelet transformation, its
use in time series forecasting model has become popular. The appropriate wavelet function …
use in time series forecasting model has become popular. The appropriate wavelet function …
[PDF][PDF] FUZZY NEURAL NETWORKS FOR IDENTIFICATION OF BREAST CANCER USING IMAGES'SHAPE AND TEXTURE FEATURES
A HELWAN - 2018 - docs.neu.edu.tr
Breast cancer is one of the major medical images diagnosis dilemmas. The rise of artificial
intelligence and fuzzy logic (FL) motivated researchers to overcome this problem in order to …
intelligence and fuzzy logic (FL) motivated researchers to overcome this problem in order to …