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
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 …
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.
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 …
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
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;
... Wang et al. proposed an echo state network (ESN) based fusion softsensor model optimized by the improved glowworm swarm optimization (GSO) …
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.
ResearchArticle Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Jie-shengWang,1,2 ShuangHan,1 ...
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 …
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 …
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 /
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.
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.
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).
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 …
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 …
network (ESN) based fusion so -sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation …
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 …
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 ...
network(ESN)basedfusionsoft-sensormodeloptimizedbytheimprovedglowwormswarmoptimization(GSO)algorithmis …
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 ...
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 ...
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.
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 …
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 ...
(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 …
Download scientific diagram | Attraction behavior description among glowworms. from publication: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource ...