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Prediction of classroom speech clarity using backpropagation neural network
(Universiti Kebangsaan Malaysia, 2007-11-27)
A classroom's acoustic design should be constructed so that the highest possible degree of speech intelligibility is achieved for teachers and students. In achieving the highest possible speech intelligibility, the acoustical ...
Backpropagation algorithm for rice yield prediction
(Oita University, 2004-01-28)
Parameters that affect rice yield are many, for instance diseases, pests and weeds. Statistical or mathematical model is unable to describe the correlation between plant diseases, pests and weeds on the amount of rice ...
Classroom speech intelligibility prediction using backpropagation Neural Network
(Coimbatore Institute of Technology, 2007-08-27)
In terms of individual communication, speech is the most important and efficient means, even in today's multi-media society. Thus, classrooms are mainly used for delivering speech between lecturers and students, it is ...