Effect of short-term frozen storage on taste of gonads of female Eriocheir sinensis and the classification of taste quality combined with sensory evaluation and fuzzy logic model

2022 ◽  
pp. 132105
Author(s):  
Licheng Fan ◽  
Tong Xiao ◽  
Caining Xian ◽  
Wei Ding ◽  
Xichang Wang
Author(s):  
Danladi Ali ◽  
G. P. Vasira

Electrical load forecasting is very important for effective planning and management of power system. Accurate load forecasting helps the electrical power company to make some decisions on how to meet up with their consumers’ demand.  This paper presents a solution methodology using fuzzy logic approach for short term load forecasting (SLTF) for Adamawa State University. The proposed method used fuzzy reasoning decision rules that utilized the nonlinear relationship between inputs and output. The model developed was able to forecast the future load with mean absolute percentage error (MAPE) of 1.36% and forecasting without previous load at the input of the fuzzy logic model yields better prediction error. However, from the result obtained, it shows temperature has a significant impact on electrical load than the relative humidity. Also, electrical load shall increase by 1.84 kW on the 25th September, 2018 due to increase in temperature.


Author(s):  
Ashraf Adel Shaqadan ◽  
Ilyash Maxim Yurievich ◽  
Mahdi Salman Alshamasin ◽  
Ayman Ahmad Alqaralleh ◽  
Sofia Nikolaevna Rodionova ◽  
...  

1998 ◽  
Vol 12 (5) ◽  
pp. 957-965 ◽  
Author(s):  
Erik H. Meesters ◽  
Rolf P. M. Bak ◽  
Susie Westmacott ◽  
Mark Ridgley ◽  
Steve Dollar

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 448
Author(s):  
Marco Antonio Islas ◽  
José de Jesús Rubio ◽  
Samantha Muñiz ◽  
Genaro Ochoa ◽  
Jaime Pacheco ◽  
...  

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.


2004 ◽  
Vol 34 (8) ◽  
pp. 1429-1433 ◽  
Author(s):  
Sedat Akkurt ◽  
Gokmen Tayfur ◽  
Sever Can

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