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Expanded Neo-Fuzzy Adaptive Decayed Brain Emotional Learning Network for Online Time Series Predication
Houssen Salh Ali Milad,
Jason Gu
Chemistry
科研成果
:
期刊稿件
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同行评审
3
引用 (Scopus)
综述
指纹
指纹
探究 'Expanded Neo-Fuzzy Adaptive Decayed Brain Emotional Learning Network for Online Time Series Predication' 的科研主题。它们共同构成独一无二的指纹。
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Keyphrases
Brain Emotional Learning Based Intelligent Controller (BELBIC)
100%
Fuzzy Adaptive
100%
Online Time
100%
Amygdala
50%
Neo-fuzzy Neuron
50%
Fuzzy Neuron Network
33%
Correlation Coefficient
16%
Root Mean Square Error
16%
Wind Speed
16%
Orbitofrontal Cortex
16%
Fully Integrated
16%
Stochastic Nonlinear Systems
16%
Wind Power Series
16%
Low Computational Complexity
16%
Time Series Predicting
16%
Online Prediction
16%
Prediction Problems
16%
Recognizer
16%
Imprecise Information
16%
Fast Learning
16%
Speed-power
16%
Disturbance Storm Time (Dst) Indices
16%
Fuzzy Based
16%
Dynamic Plant Identification
16%
Rossler
16%
Learning Accuracy
16%
Error Coefficient
16%
Update Interval
16%
Mackey-Glass
16%
Online Time Series Prediction
16%
Sensory Cortex
16%
MATLAB Programming
16%
Response Generation
16%
Programming Environments
16%
Computer Science
Learning Network
100%
Received Information
50%
Computational Complexity
25%
Response Generation
25%
Orbitofrontal Cortex
25%
Recognizer
25%
Programming Environment
25%
Series Prediction
25%
Nonlinear System
25%
Root Mean Squared Error
25%
Chemical Engineering
Nonlinear System
100%