Weights and structure determination of feed-forward two-input neural network activated by chebyshev polynomials of class 2

Author(s):  
Yunong Zhang ◽  
Xiaotian Yu ◽  
Dongsheng Guo ◽  
Jun Li ◽  
Zhengping Fan
2016 ◽  
Vol 855 ◽  
pp. 75-81
Author(s):  
Peerapol Khunarsa ◽  
Julalug Mahawan ◽  
Pisit Nakjai ◽  
Nerissa Onkhum

The challenging for buyers around the globe to identify good quality of Durian. For several kinds of Durian, it may be difficult for buyers to determine the Durian quality by appearance. The ability to select only good quality Durian without cutting or cleaving is useful because buyers will not waste money ordering undesirable Durian.This paper proposes a nondestructive technique to determine the stages of maturity of durian fruits. The presented methodology utilizes the concept of pattern matching. We used the local knocking equipment to knock the durian for knocked-sound. After that the knocked-sound was analyzed and generated to Mel-frequency cepstral coefficients (MFCCs) that is used to train data for the classifier. Feed-Forward Neural Network was used for the classifier and can effectively classification the stages of maturity of durian fruits with accuracy rate more than 82%.


Author(s):  
K. Chowdhury ◽  
S. Ghosh ◽  
M. Mukherjee

AbstractThe direct method program SAYTAN has been applied successfully to redetermine the structure of cytochrome c


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