Citations (38)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (12)
Md. Imran H. Khan, Shyam S. Sablani, M. U. H. Joardder & M. A. Karim. (2022) Application of machine learning-based approach in food drying: opportunities and challenges. Drying Technology 40:6, pages 1051-1067.
Read now
Read now
Mingtang Tan, Jinfeng Wang, Peiyun Li & Jing Xie. (2020) Storage time prediction of glazed frozen squids during frozen storage at different temperatures based on neural network. International Journal of Food Properties 23:1, pages 1663-1677.
Read now
Read now
Xiang Jiang, Kai Liao, Delong Xie, Yuhui Xie & Xinya Zhang. (2017) Optimization of microencapsulation of silane coupling agent by spray drying using response surface methodology. International Journal of Polymeric Materials and Polymeric Biomaterials 66:17, pages 891-899.
Read now
Read now
Yongli Yang, Hua Cong, Pengcheng Jiang, Fuzhou Feng, Ping Zhang, Yaokai Li & Jinfeng Hao. (2017) Desiccant wheel system modeling improvement using multiple population genetic algorithm training of neural network. Drying Technology 35:14, pages 1663-1674.
Read now
Read now
Prerna Khawas, Kshirod Kumar Dash, Arup Jyoti Das & Sankar Chandra Deka. (2016) Modeling and optimization of the process parameters in vacuum drying of culinary banana (Musa ABB) slices by application of artificial neural network and genetic algorithm. Drying Technology 34:4, pages 491-503.
Read now
Read now
M. M. Rahman, A. G. M. B. Mustayen, Saad Mekhilef & R. Saidur. (2015) The Optimization of Solar Drying of Grain by Using a Genetic Algorithm. International Journal of Green Energy 12:12, pages 1222-1231.
Read now
Read now
Mortaza Aghbashlo, Soleiman Hosseinpour & Arun S. Mujumdar. (2015) Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review. Drying Technology 33:12, pages 1397-1462.
Read now
Read now
Bruno Guzzo da Silva, Ana Maria Frattini Fileti & Osvaldir Pereira Taranto. (2015) Drying of Brazilian Pepper-Tree Fruits (Schinus terebinthifolius Raddi): Development of Classical Models and Artificial Neural Network Approach. Chemical Engineering Communications 202:8, pages 1089-1097.
Read now
Read now
Wenhua Zi, Xiaolong Zhang, Jinhui Peng, Libo Zhang, Minghai Long & Jingjian Zuo. (2013) Optimization of Microwave Drying Biomass Material of Stem Granules from Waste Tobacco Using Response Surface Methodology. Drying Technology 31:11, pages 1234-1244.
Read now
Read now
I. Farkas. (2013) Use of Artificial Intelligence for the Modelling of Drying Processes. Drying Technology 31:7, pages 848-855.
Read now
Read now
Kemal Polat & Volkan Kirmaci. (2012) A Novel Data Preprocessing Method for the Modeling and Prediction of Freeze-Drying Behavior of Apples: Multiple Output–Dependent Data Scaling (MODDS). Drying Technology 30:2, pages 185-196.
Read now
Read now
Asım Balbay, Ömer Şahin & Murat Karabatak. (2011) An Investigation of Drying Process of Shelled Pistachios in a Newly Designed Fixed Bed Dryer System by Using Artificial Neural Network. Drying Technology 29:14, pages 1685-1696.
Read now
Read now
Articles from other publishers (26)
Xiaoying Ding, Huaiyou Wang, Hengyang Li, Tao Wang, Shenghui Hao, Wenjie Li, Chengyue Wang, Lei Wang, Yuguang Zheng, Qi An, Long Guo & Dan Zhang. (2023) Optimization of the processing technology of schizonepetae herba carbonisata using response surface methodology and artificial neural network and comparing the chemical profiles between raw and charred schizonepetae herba by UPLC-Q-TOF-MS. Heliyon 9:2, pages e13398.
Crossref
Crossref
M. Imran. H. Khan, Duval Longa, Shyam S. Sablani & YuanTong Gu. (2022) A Novel Machine Learning–Based Approach for Characterising the Micromechanical Properties of Food Material During Drying. Food and Bioprocess Technology 16:2, pages 420-433.
Crossref
Crossref
Syahira Ibrahim & Norhaliza Abdul Wahab. (2022) Improved Artificial Neural Network Training Based on Response Surface Methodology for Membrane Flux Prediction. Membranes 12:8, pages 726.
Crossref
Crossref
Sima Malekmohammadi & Seyed Ahmad Mirbagheri. (2022) Optimization of an artificial neural network topology using response surface methodology for microbial fuel cell power prediction. Biotechnology Progress 38:4.
Crossref
Crossref
Tianyou Pei, Feixue Chen, Shuheng Qiu, Dawei Wu, Weiwei Gao, Zhaoping Xu & Chi Zhang. (2022) Research on the Intake Port of a Uniflow Scavenging GDI Opposed-Piston Two-Stroke Engine. Energies 15:6, pages 2148.
Crossref
Crossref
Md. Imran H. Khan, Shyam S. Sablani, Richi Nayak & Yuantong Gu. (2022) Machine learning‐based modeling in food processing applications: State of the art. Comprehensive Reviews in Food Science and Food Safety 21:2, pages 1409-1438.
Crossref
Crossref
Ercan Aydoğmuş, Ahmet B. Demirpolat & Hasan Arslanoğlu. (2021) Isothermal and non-isothermal drying behavior for grape (Vitis vinifera) by new improved system: exergy analysis, RSM, and modeling. Biomass Conversion and Biorefinery 12:2, pages 527-536.
Crossref
Crossref
J L K Ming, F S Taip, M S Anuar, S B M Noor & Z Abdullah. (2020) Optimization of genetic algorithm parameter in hybrid genetic algorithm-neural network modelling: Application to spray drying of coconut milk. IOP Conference Series: Materials Science and Engineering 991:1, pages 012139.
Crossref
Crossref
Conglian He, Ruoxing Chen, Ke Ren, Gaokun Zhao, Chenggang He, Binbin Hu, Congming Zou, Yonglei Jiang & Yi Chen. (2020) A predictive model for the sensory aroma characteristics of flue-cured tobacco based on a back-propagation neural network. SN Applied Sciences 2:11.
Crossref
Crossref
V.K. Chasiotis, D.A. Tzempelikos, A.E. Filios & K.P. Moustris. (2020) Artificial neural network modelling of moisture content evolution for convective drying of cylindrical quince slices. Computers and Electronics in Agriculture 172, pages 105074.
Crossref
Crossref
Andrija Ciric, Bor Krajnc, David Heath & Nives Ogrinc. (2020) Response surface methodology and artificial neural network approach for the optimization of ultrasound-assisted extraction of polyphenols from garlic. Food and Chemical Toxicology 135, pages 110976.
Crossref
Crossref
Qiong-Qiong Yang, Ren-You Gan, Dan Zhang, Ying-Ying Ge, Li-Zeng Cheng & Harold Corke. (2019) Optimization of kidney bean antioxidants using RSM & ANN and characterization of antioxidant profile by UPLC-QTOF-MS. LWT 114, pages 108321.
Crossref
Crossref
Mohammad Kaveh, Reza Amiri Chayjan, Ebrahim Taghinezhad, Yousef Abbaspour Gilandeh, Abdollah Younesi & Vali Rasooli Sharabiani. (2018) Modeling of thermodynamic properties of carrot product using ALO, GWO, and WOA algorithms under multi-stage semi-industrial continuous belt dryer. Engineering with Computers 35:3, pages 1045-1058.
Crossref
Crossref
Radosław Winiczenko, Krzysztof Górnicki, Agnieszka Kaleta & Monika Janaszek-Mańkowska. (2016) Optimisation of ANN topology for predicting the rehydrated apple cubes colour change using RSM and GA. Neural Computing and Applications 30:6, pages 1795-1809.
Crossref
Crossref
Maria João Barroca, Raquel P. F. Guiné, Ana Rita P. Calado, Paula M. R. Correia & Mateus Mendes. (2017) Artificial neural network modelling of the chemical composition of carrots submitted to different pre-drying treatments. Journal of Food Measurement and Characterization 11:4, pages 1815-1826.
Crossref
Crossref
Kashif Ameer, Seong-Woo Bae, Yunhee Jo, Hyun-Gyu Lee, Asif Ameer & Joong-Ho Kwon. (2017) Optimization of microwave-assisted extraction of total extract, stevioside and rebaudioside-A from Stevia rebaudiana (Bertoni) leaves, using response surface methodology (RSM) and artificial neural network (ANN) modelling. Food Chemistry 229, pages 198-207.
Crossref
Crossref
Yancho Todorov, Margarita Terziyska & Michail Petrov. 2017. Recent Contributions in Intelligent Systems. Recent Contributions in Intelligent Systems
291
312
.
Soleiman Hosseinpour, Mortaza Aghbashlo, Meisam Tabatabaei & Esmail Khalife. (2016) Exact estimation of biodiesel cetane number (CN) from its fatty acid methyl esters (FAMEs) profile using partial least square (PLS) adapted by artificial neural network (ANN). Energy Conversion and Management 124, pages 389-398.
Crossref
Crossref
Mohammad Hossein Nadian, Shahin Rafiee & Mahmood Reza Golzarian. (2016) Real-time monitoring of color variations of apple slices and effects of pre-treatment and drying air temperature. Journal of Food Measurement and Characterization 10:3, pages 493-506.
Crossref
Crossref
S.M. Jafari, V. Ghanbari, M. Ganje & D. Dehnad. (2016) Modeling the Drying Kinetics of Green Bell Pepper in a Heat Pump Assisted Fluidized Bed Dryer. Journal of Food Quality 39:2, pages 98-108.
Crossref
Crossref
Himan Nourbakhsh, Zahra Emam-Djomeh, Mahmoud Omid, Hossein Mirsaeedghazi & Sohrab Moini. (2014) Prediction of red plum juice permeate flux during membrane processing with ANN optimized using RSM. Computers and Electronics in Agriculture 102, pages 1-9.
Crossref
Crossref
Majid Dowlati, Seyed Saeid Mohtasebi, Mahmoud Omid, Seyed Hadi Razavi, Mansour Jamzad & Miguel de la Guardia. (2013) Freshness assessment of gilthead sea bream (Sparus aurata) by machine vision based on gill and eye color changes. Journal of Food Engineering 119:2, pages 277-287.
Crossref
Crossref
Juliana Gamboa-Santos, Ana C. Soria, Tiziana Fornari, Mar Villamiel & Antonia Montilla. (2013) Optimisation of convective drying of carrots using selected processing and quality indicators. International Journal of Food Science & Technology, pages n/a-n/a.
Crossref
Crossref
Mortaza Aghbashlo, Hossien Mobli, Shahin Rafiee & Ashkan Madadlou. (2013) An artificial neural network for predicting the physiochemical properties of fish oil microcapsules obtained by spray drying. Food Science and Biotechnology 22:3, pages 677-685.
Crossref
Crossref
Mortaza Aghbashlo, Hossien Mobli, Shahin Rafiee & Ashkan Madadlou. (2012) The use of artificial neural network to predict exergetic performance of spray drying process: A preliminary study. Computers and Electronics in Agriculture 88, pages 32-43.
Crossref
Crossref
Narjes Aghajani, Mahdi Kashaninejad, Amir Ahmad Dehghani & Amir Daraei Garmakhany. (2012) Comparison between artificial neural networks and mathematical models for moisture ratio estimation in two varieties of green malt. Quality Assurance and Safety of Crops & Foods 4:2, pages 93-101.
Crossref
Crossref