A technique of fuzzy C-Mean in multiple linear regression model toward paddy yield
. In this paper, we propose a hybrid model which is a combination of multiple linear regression model and fuzzy c-means method. This research involved a relationship between 20 variates of the top soil that are analyzed prior to planting of paddy yields at standard fertilizer rates. Data used...
محفوظ في:
المؤلفون الرئيسيون: | Wahab, Nur Syazwan, Rusiman, Mohd Saifullah, Mohamad, Mahathir, Azmi, Nur Amira, Che Him, Norziha, Kamardan, M. Ghazali, Ali, Maselan |
---|---|
التنسيق: | Conference or Workshop Item |
اللغة: | English |
منشور في: |
2018
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.uthm.edu.my/7006/1/P9889_718ddb01ea16506f15e4ff1dc78fd2b7.pdf http://eprints.uthm.edu.my/7006/ https://doi.org/10.1088/1742-6596/995/1/012010 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
A new hybrid of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
بواسطة: Ramly, Nurfarawahida, وآخرون
منشور في: (2018) -
Prediction in a hybrid of fuzzy linear regression with symmetric parameter model and fuzzy c-means method using simulation data
بواسطة: Shafi, Muhammad Ammar, وآخرون
منشور في: (2018) -
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
بواسطة: Gan Pei Yee, Gan Pei Yee, وآخرون
منشور في: (2023) -
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
بواسطة: Gan Pei Yee, Gan Pei Yee, وآخرون
منشور في: (2023) -
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
بواسطة: Gan Pei Yee, Gan Pei Yee, وآخرون
منشور في: (2023)