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A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications

https://doi.org/10.1109/tsmcc.2008.2002333

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Predicting the Mackey-Glass Timeseries With Cascade-Correlation Learning

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Time series prediction with recurrent neural networks trained by a hybrid PSO–EA algorithm

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Self-generation RBFNs using evolutional PSO learning

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Neuro-fuzzy adaptive control based on dynamic inversion for robotic manipulators

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Time Series Analysis Forecasting and Control

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Non-linear Time Series

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Identification of nonlinear dynamic systems using functional link artificial neural networks

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System design by constraint adaptation and differential evolution

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A particle swarm optimization for reactive power and voltage control considering voltage security assessment

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Neural networks designed on approximate reasoning architecture and their applications

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DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction

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A Functional-Link-Based Fuzzy Neural Network for Temperature Control

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Coactive neural fuzzy modeling

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Particle swarm optimization

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Particle swarms for feedforward neural network training

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Sunspot numbers forecasting using neural networks

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New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process

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A Modified Particle Swarm Optimizer for the Coordination of Directional Overcurrent Relays

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Fuzzy identification of systems and its applications to modeling and control

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An Approach to Online Identification of Takagi-Sugeno Fuzzy Models

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Particle Swarm Optimization

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Time Series Analysis: Forecasting and Control

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A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System

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Intelligent Friction Modeling and Compensation Using Neural Network Approximations

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A Novel 16-Channel Wireless System for Electroencephalography Measurements With Dry Spring-Loaded Sensors

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Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems

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A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control

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Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network

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Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction

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Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records

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A Hybrid Learning Method for Constructing Compact Rule-Based Fuzzy Models

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Electric Load Forecasting Based on Locally Weighted Support Vector Regression

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OPTIMIZED POLYNOMIAL FUZZY SWARM NET FOR CLASSIFICATION

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An Immune Cooperative Particle Swarm Optimization Algorithm for Fault‐Tolerant Routing Optimization in Heterogeneous Wireless Sensor Networks

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Neural Model with Particle Swarm Optimization Kalman Learning for Forecasting in Smart Grids

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Cultural Emperor Penguin Optimizer and Its Application for Face Recognition

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Evolving LSTM Networks for Time‐Series Classification in EdgeIoT

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Asynchronous Optimization Algorithms for the Enhancement of Lifetime in WSNs

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Fuzzy Markov Model Based on FCM for Electromagnetic Environment Parameters Prediction

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Ridge Polynomial Neural Network with Error Feedback for Time Series Forecasting

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Efficient differential evolution algorithm-based optimisation of fuzzy prediction model for time series forecasting

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Problem Decomposition and Adaptation in Cooperative Neuro-Evolution

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Discrete Particle Swarm Optimization Routing Protocol for Wireless Sensor Networks with Multiple Mobile Sinks

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Semi-Supervised Soft Computing for Ammonia Nitrogen Using a Self-Constructing Fuzzy Neural Network with an Active Learning Mechanism

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Image segmentation based on wavelet mutation particle swarm optimization and fuzzy entropy

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Prediction-based manufacturing center self-adaptive demand side energy optimization in cyber physical systems

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Bat Algorithm Inspired Algorithm for Solving Numerical Optimization Problems

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A least square support vector machine prediction algorithm for chaotic time series based on the iterative error correction

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An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study

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