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Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications
TLDR
A new hybrid particle swarm optimization (PSO) that incorporates a wavelet-theory-based mutation operation is proposed. Expand
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Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm
TLDR
This paper proposes a novel neural network (NN) training method that employs the hybrid exponential smoothing method and the Levenberg-Marquardt algorithm to improve the generalization capabilities of previously used methods for training NNs for short-term traffic flow forecasting. Expand
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Improved Hybrid Particle Swarm Optimized Wavelet Neural Network for Modeling the Development of Fluid Dispensing for Electronic Packaging
TLDR
An improved hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for modeling the development of fluid dispensing for electronic packaging (MFD-EP). Expand
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Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers
TLDR
Fuzzy regression (FR) been demonstrated as a promising technique for modeling manufacturing processes where availability of data is limited. Expand
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Psychophysiology-Based QoE Assessment: A Survey
TLDR
We present a survey of psychophysiology-based assessment for quality of experience (QoE) in advanced multimedia technologies. Expand
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A new hybrid Particle Swarm Optimization with wavelet theory based mutation operation
TLDR
An improved hybrid particle swarm optimization (PSO) that incorporates wavelet-based mutation operation is proposed. Expand
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A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach
TLDR
In this study, a new methodology of generating customer satisfaction models using a neuro-fuzzy approach is proposed. Expand
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An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness
Affective product design aims at incorporating customers’ affective needs into design variables of a new product so as to optimise customers’ affective satisfaction. Faced with fierce competition inExpand
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Prediction of Short-Term Traffic Variables Using Intelligent Swarm-Based Neural Networks
TLDR
This brief presents an innovative algorithm integrated with particle swarm optimization and artificial neural networks to develop short-term traffic flow predictors, which are intended to provide traffic flow forecasting information in order to reduce traffic congestion and improve mobility of transportation. Expand
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Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods
TLDR
In product design, various methodologies have been proposed for market segmentation, which group consumers with similar customer requirements into clusters. Expand
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