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内部出版物
SpringerLink电子期刊(10)
Elsevier电子期刊(9)
在“
SpringerLink电子期刊
”中,
命中:
10
条,耗时:0.0239836 秒
在所有数据库中总计命中:
19
条
1.
Evolving Fuzzy Min–Max
Neural
Network
Based Decision Trees for Data Stream Classification
作者:
Zahra Mirzamomen
;
Mohammad Reza Kangavari
关键词:
Pattern recognition
;
Data stream classification
;
Decision tree
;
Min–max
neural
network
;
Stability
刊名:
Neural
Processing Letters
出版年:2017
2.
Fuzzy Min–Max
Neural
Network
for Learning a Classifier with Symmetric Margin
作者:
Yahya Forghani
;
Hadi Sadoghi Yazdi
关键词:
Fuzzy min–max
neural
network
;
Classification
;
Overlapped region
;
Symmetric margin
;
Noise
刊名:
Neural
Processing Letters
出版年:2015
3.
Patient admission prediction using a pruned fuzzy min–max
neural
network
with rule extraction
作者:
Jin Wang
;
Chee Peng Lim
;
Douglas Creighton…
关键词:
Patient admission prediction
;
Fuzzy min–max
neural
network
;
Genetic algorithm
;
Rule extraction
刊名:
Neural
Computing & Applications
出版年:2015
4.
Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning
作者:
Manjeevan Seera
;
Chee Peng Lim
;
Chu Kiong Loo
关键词:
Classification and regression tree
;
Fault detection and diagnosis
;
Fuzzy min–max
neural
network
;
Induction motor
刊名:Journal of Intelligent Manufacturing
出版年:2016
5.
Transfer learning using the online Fuzzy Min–Max
neural
network
作者:
Manjeevan Seera (1)
Chee Peng Lim (2)
关键词:
Transfer learning
;
Online Fuzzy Min–Max
neural
network
;
Noisy data
;
Data classification
刊名:
Neural
Computing & Applications
出版年:2014
6.
Application of the fuzzy min–max
neural
network
to fault detection and diagnosis of induction motors
作者:
Manjeevan Seera (4)
Chee Peng Lim (1)
Dahaman Ishak (2)
Harapajan Singh (3)
关键词:
Fault detection and diagnosis
;
Induction motor
;
Fuzzy min–max
neural
network
;
Motor current signature analysis
;
Pattern classification
刊名:
Neural
Computing & Applications
出版年:2013
7.
Fuzzy min–max
neural
network
s for categorical data: application to missing data imputation
作者:
Pilar Rey-del-Castillo (1) prey@fi.upm.es
Jesús Carde?osa (2) carde@fi.upm.es
关键词:
Classification – Fuzzy systems – Fuzzy min–max
neural
network
s – Imputation – Missing data
刊名:
Neural
Computing & Applications
出版年:2012
8.
A novel trust measurement method based on certified belief in strength for a multi-agent classifier system
作者:
Mohammed Falah Mohammed (1)
Chee Peng Lim (2)
Anas Quteishat (3)
关键词:
Trust
;
Strength and reputation
;
Fuzzy min–max
neural
network
;
Multi
;
agent classifier system
;
Classification accuracy
刊名:
Neural
Computing & Applications
出版年:2014
9.
Predictive Power of “A Minima-Models in Biology
作者:
L. Almeida (1) Luis.Almeida@agim.eu
J. Demongeot (12) Jacques.Demongeot@agim.eu
关键词:
Genetic code – Ancestral ribosome – Genetic regulatory
network
s – Circuits
;
attractors – Actin cable – Purse string contraction – Zebrafish epiboly – Convexity – “A minima” models
刊名:Acta Biotheoretica
出版年:2012
10.
Reinforcement Learning Using the Stochastic Fuzzy Min–Max
Neural
Network
作者:
Aristidis Likas
关键词:
fuzzy min–max
neural
network
;
pole balancing problem
;
reinforcement learning
;
stochastic automaton
刊名:
Neural
Processing Letters
出版年:2001
1
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