Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion. Table 2. Predictive data set of the soft-sensor model. Serial number: Color features: Texture features: Process variables and boundary conditions: Predicted variables: Saturation:
Simulation results show that the proposed soft-sensor modeling method can significantly enhance the predictive accuracy and robustness of the technical and economic indexes and satisfy the real-time control requirements of PVC polymerizing production process. For forecasting the key technology indicator convention velocity of vinyl …
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 …
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion. Jie-sheng Wang Shuang Han Na-Na Shen. Computer Science, Engineering. TheScientificWorldJournal. 2014;
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 so -sensor …
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Table 3 Contribution rate of principle component.
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion ... (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved … Expand. 8 [PDF] 1 Excerpt; Save. Related …
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion. PubMed Central ... an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation and …
Glowworm swarm optimization (GSO) Below we provide a chronological list of papers on GSO Note to the reader: If you find any GSO paper is missing in the list, please email the details to [email protected] with subject line as "GSO Paper" ... J.-S.Wang, S. Han, andN.-N. Shen. Improved gso optimized esn soft-sensor model of flotation process based ...
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Jie-sheng Wang, Shuang Han, Na-na Shen; Affiliations Jie-sheng Wang School of Electronic and Information Engineering, University of Science & Technology Liaoning, Anshan 114044, China ...
Improved GSO optimized ESN soft-sensor model of flotation process based on multisource heterogeneous information fusion. ... an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. Firstly, the color feature (saturation and brightness) and texture …
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion Jie-sheng Wang, Shuang Han, Na-na …
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 ...
(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 …
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 ...
The application result in a Chinese iron core dressing mill indicates that the soft sensor presented by this paper causes no damage to people and it can forecast product quality in real-time. Concentrate grade and tailings grade are two vital parameter indexes in a flotation process. To detect the grade succinctly and continuously, a soft …
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 …
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion. Table 1. Grey-level co-occurrence matrix. Texture features: Calculation equations: ASM: angular second moment: Contrast: Correlation: SS: sum of squares: IDM: inverse difference moment: SA: sum average:
Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion 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 …
TY - JOUR A2 - Bhatnagar, V. A2 - Agarwal, P. AU - Wang, Jie-sheng AU - Han, Shuang AU - Shen, Na-na PY - 2014 DA - 2014/04/10 TI - Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion SP - 262368 VL - 2014 AB - For predicting the key technology indicators …
Abstract EN. 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.
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.
Han, S.; Shen, N.-n. 2014: Improved GSO optimized ESN soft-sensor model of flotation process based on multisource heterogeneous information fusion Thescientificworldjournal 2014: 262368 Zhou, P.; Gao, B.; Wang, S.; Chai, T. 2022: Identification of Abnormal Conditions for Fused Magnesium Melting Process Based on Deep Learning and …
Wang, J., Han, S., & Shen, N. (2014). Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion.
Abstract Knowledge Discovery in Knowledge Base (KDK) opens new horizons for research. KDK and KDD (Knowledge Discovery in Database) are the different cognitive field and discovery process.
(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 (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is pr...
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 …
Download scientific diagram | Typical iron ore flotation froth images. from publication: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous ...
A network forecasting method based on data-driven is established in this paper for the prediction problem on BFG output, in which an improved echo state network is proposed and the network output weights are obtained by singular value decomposition. Based on the complex process of blast furnace gas (BFG) system in steel industry, a network …
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.
Download scientific diagram | Attraction behavior description among glowworms. from publication: Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource ...
Finally, the ESN network structure parameters are optimized by the improved GSO algorithm to realize the accurate prediction of the concentrate grade and …
