Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mehmet Köni"'
Publikováno v:
Drying Technology. 28:205-213
A control system was designed using adaptive neuro-fuzzy inference system (ANFIS) for industrial-scale batch drying of baker's yeast. The temperature and flow rate of inlet air were considered as the manipulated variables to control the temperature a
Publikováno v:
Chemical Engineering and Processing: Process Intensification. 48:1361-1370
Optimal quality control of drying process of baker's yeast in large scale batch fluidized bed dryer is presented using neural network based models and modified genetic algorithm (GA). The objective of this study is to determine optimal conditions to
Publikováno v:
Control Engineering Practice. 17:503-517
This study investigates the drying of baker's yeast in a fluidized-bed dryer. Mathematical modeling of the process was performed, incorporating the important process and quality parameters of the system. Artificial neural network (ANN) and adaptive n
Publikováno v:
Engineering in Life Sciences. 1:75-84
We intended to establish a system for calorimetric measurements on a pilot scale. The on-line calculation of model equations of the heat balance around the reactor is supposed to be simple at a constant fermentation temperature. To obtain higher accu