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improved gso optimized esn soft

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(PDF) KPCA-ESN Soft-Sensor Model of Polymerization Process

Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion The Scientific World Journal. Biochemistry Medicine Genetics Molecular Biology Environmental Science. 2014 English. Biogeography-Based Optimization Algorithm for Designing of Planar Steel Frames

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Improved GSO Optimized ESN Soft-Sensor Model of …

The ESN soft-sensor model of flotation process is optimized by the GSO algorithm with congestion factor. Simulation results show that the model has better …

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Improved GSO optimized ESN soft-sensor model of …

The ESN soft-sensor model of flotation process is optimized by the GSO algorithm with congestion factor. Simulation results show that the model has better generalization and prediction accuracy to meet the online soft-sensor requirements of the real-time control in the flotation process.

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How Improvements in Glowworm Swarm Optimization Can Solve …

GSO improves machining process better as compared to experimental method and PSO. In, Wang et al. proposed an echo state network (ESN) based fusion soft-sensor model optimized by the improved GSO algorithm for predicting the key technology indicators (concentrate grade and tailings recovery rate) of the flotation …

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Improved GSO optimized ESN soft-sensor model of …

For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimi

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Swarm Intelligence and Its Applications 2014 | Hindawi

Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion. Jie-sheng Wang | Shuang Han | Na-na Shen. 10 Apr 2014; PDF Download PDF; Citation Download citation; Special Issue - Volume 2014 - Article ID 906546 - Research Article;

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(PDF) Improved GSO Optimized ESN Soft-Sensor Model of

... Wang et al. proposed an echo state network (ESN) based fusion softsensor model optimized by the improved glowworm swarm optimization (GSO) …

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Improved GSO Optimized ESN Soft-Sensor Model of …

For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed.

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Improved GSO Optimized ESN Soft-Sensor Model of …

ResearchArticle Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Jie-shengWang,1,2 ShuangHan,1 ...

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Improved GSO optimized ESN soft-s... preview & related …

Abstract. For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm …

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Feed-Forward Neural Network Soft-Sensor Modeling of Flotation

Wang et al. proposed an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm. ... J.-S. Wang, S. Han, and N.-N. Shen, "Improved GSO optimized ESN soft-sensor model of flotation process based on multisource heterogeneous information fusion," The Scientific World …

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Table 4 | Improved GSO Optimized ESN Soft-Sensor Model …

Table 4: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion . Journals; Publish with us; Publishing partnerships; About us; Blog; The Scientific World Journal. Journal overview For authors For reviewers For editors Table of Contents Special Issues. The Scientific World Journal /

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Improved GSO Optimized ESN Soft-Sensor Model of …

The ESN soft-sensor model of flotation process is optimized by the GSO algorithm with congestion factor. Simulation results show that the model has better generalization and prediction accuracy to meet the online soft-sensor requirements of the real-time control in the flotation process.

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A Soft Sensor Approach Based on an Echo State Network Optimized …

A soft sensor method based on an echo state network parameter model, IGA-ESN, was proposed. This method uses an improved genetic algorithm to optimize the key parameters of ESN, introduces an immigration strategy and adaptively changes the crossover and mutation frequency to improve the soft sensor accuracy.

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Figure 10 | Improved GSO Optimized ESN Soft-Sensor …

Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Figure 10 Predictive errors of soft-sensor models (GA-ESN, PSO-ESN, and IGSO-ESN).

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[PDF] Improved GSO Optimized ESN Soft-Sensor Model of …

For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an ESN based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation …

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Soft sensor of key index for flotation process based on …

The pH value of pulp can directly influence the mineral froth flotation efficiency.Considering the poor stability of detectors and serious manual detection time-delay,a novel soft-sensor of pH is proposed combined with the analysis of flotation mechanism and convex combination of Gaussian and linear kernel function based on the sparse multiple kernels …

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Research Article Improved GSO Optimized ESN Soft …

network (ESN) based fusion so -sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation …

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Improved GSO Optimized ESN Soft-Sensor Model of …

The ESN soft-sensor model of flotation process is optimized by the GSO algorithm with congestion factor. Simulation results show that the model has better generalization and …

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Grey-level co-occurrence matrix. | Download Scientific Diagram

Download scientific diagram | Grey-level co-occurrence matrix. from publication: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information ...

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Improved GSO Optimized ESN Soft-Sensor Model of …

network(ESN)basedfusionsoft-sensormodeloptimizedbytheimprovedglowwormswarmoptimization(GSO)algorithmis …

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Improved GSO Optimized ESN Soft-Sensor Model of

ResearchArticle Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Jie-shengWang,1,2 ShuangHan,1 andNa-naShen1 ...

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Diagram of an echo state network. | Download Scientific …

Download scientific diagram | Diagram of an echo state network. from publication: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information ...

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Kernel principal component analysis: Radial basis function …

Thirdly, the structure parameters of the ESN are optimized by the AFSA to realize the nonlinear mapping between input and output variables of the discussed soft-sensor model.

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Research Article Improved GSO Optimized ESN Soft …

Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Jie-shengWang, 1,2 ShuangHan, 1 andNa-naShen 1 School of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan, China National Financial Security and System Equipment …

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Soft-sensor model structure of flotation process.

Download scientific diagram | Soft-sensor model structure of flotation process. from publication: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource ...

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Improved GSO optimized ESN soft-s... preview & related info …

(2014) Wang et al. The Scientific World Journal. For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network …

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Attraction behavior description among glowworms.

Download scientific diagram | Attraction behavior description among glowworms. from publication: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource ...

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