Flotation Performance Recognition Based on Dual-modality Convolutional Neural Network Adaptive Transfer Learning

Yi-peng LIAO; Jie-jie YANG; Zhi-gang WANG; Wei-xing WANG

doi:10.3788/gzxb20204910.1015001

[1] J ZHANG, Z H TANG, M X AI. Nonlinear modeling of the relationship between reagent dosage and flotation froth surface image by Hammerstein-Wiener model. Minerals Engineering, 120, 19-28(2018).

[2] F NAKHAEI, M IRANNAJAD, S MOHAMMADNEJAD. Column flotation performance prediction： PCA， ANN and image analysis-based approaches. Physicochemical Problems of Mineral Processing, 55, 1298-1310(2019).

[3] A JAHEDSARAVANI, M H MARHABAN, M MASSINAEI. Prediction of the metallurgical performances of a batch flotation system by image analysis and neural networks. Minerals Engineering, 69, 137-145(2014).

[4] Y L WANG, B SUN, R Q ZHANG. Sulfur flotation performance recognition based on hierarchical classification of local dynamic and static froth features. IEEE Access, 6, 14019-14029(2018).

[5] Jun-an WU, Rui GUO, Rong-zhong LIU. Convolutional neural network target recognition for missileborne linear array LiDAR. Acta Photonica Sinica, 48, 0701002(2019).

[6] Y FU, C ALDRICH. Froth image analysis by use of transfer learning and convolutional neural networks. Minerals Engineering, 1 15, 68-78(2018).

[7] X L WANG, S CHEN, C H YANG. Process working condition recognition based on the fusion of morphological and pixel set features of froth for froth flotation. Minerals Engineering, 128, 17-26(2018).

[8] Z M LI, W H GUI, J Y ZHU. Fault detection in flotation processes based on deep learning and support vector machine. Journal of Central South University, 26, 2504-2515(2019).

[9] Y FU, C ALDRICH. Flotation froth image recognition with convolutional neural networks. Minerals Engineering, 132, 183-190(2019).

[10] D M HAN, Q G LIU, W G FAN. A new image classification method using CNN transfer learning and web data augmentation. Expert Systems with Applications, 95, 43-56(2018).

[11] A KRIZHEVSKY, I SUTSKEVER, G HINTON. Imagenet classification with deep convolutional neural networks. Advancesin Neural Information Processing Systems, 25, 1097-1105(2012).

[12] Yi-peng LIAO, Wei-xing WANG. Flotation bubble delineation based on shearlet multiscale boundary detection and fusion. Acta Optica Sinica, 38, 0315004(2018).

[13] Xue-song ZHANG, Yan ZHUANG, Fei YAN. Status and development of transfer learning based category-level object recognition and detection. Acta Automatica Sinica, 45, 1224-1243(2019).

[14] K LAI, L BO, X REN. A large-scale hierarchical multiview RGB-D object dataset, 1817-1824(2011).

[15] Hu-sheng WU, Feng-ming ZHANG, Lu-shan WU. New swarm intelligence algorithm—wolf pack algorithm. Systems Engineering and Electronics, 35, 2430-2438(2013).

[16] V TKACHUK. Quantum genetic algorithm based on qutrits and its application. Mathematical Problems in Engineering, 4, 8614073(2018).

[17] A LAYEB. A hybrid quantum inspired harmony search algorithm for 0-1 optimization problems. Journal of Computational and Applied Mathematics, 253, 14-25(2013).

[18] L LIU, L SHAN, Y W DAI. A modified quantum bacterial foraging algorithm for parameters identification of fractional-order system. IEEE Access, 6, 6610-6619(2018).

[19] Y J GAO, F M ZHANG, Y ZHAO. A novel quantum-inspired binary wolf pack algorithm for difficult knapsack problem. International Journal of Wireless and Mobile Computing, 16, 222-232(2019).

[20] Wei SUN, Hong-ji DU, Xiao-rui ZHANG. Traffic sign recognition method based on multi-layer feature CNN and extreme learning machine. Journal of University of Electronic Science and Technology of China, 47, 343-349(2018).

[21] Yun-hua YIN, Hui-fang Li. RGB-D object recognition based on hybrid convolutional auto-encoder extreme learning machine. Infrared and Laser Engineering, 47, 61-68(2018).

[22] Y S CHENG, D W ZHAO, Y B WANG. Multi-label learning with kernel extreme learning machine autoencoder. Knowledge⁃Based Systems, 178, 1-10(2019).

[23] J KIM. Identification of Alzheimer’s disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine. Hum Brain Mapp, 1-14(2018).