| User-friendly optimization approach of fed-batch fermentation conditions for the production of iturin A using artificial neural networks and support vector machine F Chen, H Li, Z Xu, S Hou, D Yang Electronic Journal of Biotechnology 18 (4), 273-280, 2015 | 49 | 2015 |
| Evaluation models for soil nutrient based on support vector machine and artificial neural networks H Li, W Leng, Y Zhou, F Chen, Z Xiu, D Yang The Scientific World Journal 2014, 2014 | 47 | 2014 |
| Effects of different layouts of fine-pore aeration tubes on sewage collection and aeration in rectangular water tanks Y Du, F Chen, L Zhou, T Qiu, J Sun Aquacultural Engineering 89, 102060, 2020 | 24 | 2020 |
| Prediction of zeta potential of decomposed peat via machine learning: comparative study of support vector machine and artificial neural networks H Li, F Chen, K Cheng, Z Zhao, D Yang Int. J. Electrochem. Sci 10 (8), 6044-6056, 2015 | 22 | 2015 |
| Application of hybrid electrocoagulation–filtration methods in the pretreatment of marine aquaculture wastewater J Xu, Y Du, T Qiu, L Zhou, Y Li, F Chen, J Sun Water Science and Technology 83 (6), 1315-1326, 2021 | 19 | 2021 |
| Design of an intelligent variable-flow recirculating aquaculture system based on machine learning methods F Chen, Y Du, T Qiu, Z Xu, L Zhou, J Xu, M Sun, Y Li, J Sun Applied Sciences 11 (14), 6546, 2021 | 14 | 2021 |
| Analysis of the oil content of rapeseed using artificial neural networks based on near infrared spectral data D Yang, H Li, C Cao, F Chen, Y Zhou, Z Xiu Journal of Spectroscopy 2014, 2014 | 12 | 2014 |
| Construction and application of an electrocoagulation and filtration linkage control system in a recirculating aquaculture system J Xu, T Qiu, F Chen, L Zhou, J Sun, Y Du Journal of Water Process Engineering 44, 102379, 2021 | 10 | 2021 |
| Retrofitting Sea Cucumber Nursery Tanks to Recirculating Aquaculture Systems for Highly Intensive Litopenaeus vannamei Aquaculture Y Du, J Xu, L Zhou, F Chen, T Qiu, J Sun Applied Sciences 11 (20), 9478, 2021 | 9 | 2021 |
| Enhancing the Performance of the Electrocoagulation− Filtration System Treating Mariculture Tailwaters by Using Alternating Pulse Current: Effects of Current Density and … J Xu, T Qiu, F Chen, M Sun, L Zhou, J Sun, Y Du Water 14 (8), 1181, 2022 | 8 | 2022 |
| Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology F Chen, J Xu, Y Wei, J Sun Aquacultural Engineering 87, 102014, 2019 | 8 | 2019 |
| A novel eutrophication assessment models for aquaculture water area via artificial neural networks D Yang, F Chen, Y Zhou Journal of Computational and Theoretical Nanoscience 12 (9), 2909-2912, 2015 | 8 | 2015 |
| Application of Artificial Neural Networks in predicting abrasion resistance of solution polymerized styrene-butadiene rubber based composites H Li, D Yang, F Chen, Y Zhou, Z Xiu 2014 IEEE Workshop on Electronics, Computer and Applications, 581-584, 2014 | 8 | 2014 |
| Diel variation in metabolism and ammonia excretion of Marphysa sanguinea (Polychaeta: Eunicidae) D Yang, F Chen, Y Zhou, Z Xiu Chinese Journal of Oceanology and Limnology 34 (6), 1209-1217, 2016 | 5 | 2016 |
| Prediction of the Yield of Enzymatic Synthesis of Betulinic Acid Ester Using Artificial Neural Networks and Support Vector Machine R Wang, Q Mo, Q Zhang, F Chen, D Yang Advance Journal of Food Science and Technology 12 (12), 653-662, 2016 | 1 | 2016 |
| Prediction of Size of Silver Nanoparticles Using Support Vector Machine and Artificial Neural Networks F Chen, X Li, Y Zhou, D Yang Journal of Computational and Theoretical Nanoscience 13 (11), 8666-8673, 2016 | | 2016 |
| Prediction of the Yield of Enzymatic Synthesis of Betulinic Acid Ester Using Artificial Neural Networks and Support Vector Machine R Wang, Q Mo, Q Zhang, F Chen, D Yang arXiv preprint arXiv:1511.03984, 2015 | | 2015 |
| QSAR study of halogenated benzene bioaccumulation factors in fish F Chen, N Li, D Yang, Y Zhou Bulgarian Chemical Communications 47 (4), 1197-1203, 2015 | | 2015 |
| A novel qualitative proof approach of the Dulong-Petit law using general regression neural networks D Yang, H Li, F Chen, Y Zhou, Z Xiu 2014 IEEE Workshop on Electronics, Computer and Applications, 577-580, 2014 | | 2014 |
