Now showing items 1-6 of 6

    • Backpropagation algorithm for rice yield prediction 

      Puteh, Saad; Mohamed Rizon, Mohamed Juhari; Nor Khairah, Jamaludin; Siti Sakira, Kamarudin; Aryati, Bakri; Nursalasawati, Rusli (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 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M. (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 ...
    • Estimation of carrageenan concentration by using ultra sonic waves and back propagation neural networks 

      Prasad, Reddy; Krishnaiah, Duduku; Awang, Bono; Paulraj, Murugesa Pandiyan, Prof. Madya; Rosli, Mohd Yunus; Naveena Lakshmi (Asian Network for Scientific Information, 2010)
      The application of Artificial Neural Networks in chemical engineering field is being under immense research. One of the physical properties of every material has its own intensity to absorb the sound waves. Carrageenans ...
    • Intelligent vehicle fault diagnosis system using Neural Networks 

      Paulraj, Murugesapandian; Sazali, Yaacob; Nor Shaifudin, Abd Hamid; Hema, Chengalvarayan Radhakrishnamurthy (Universiti Teknologi MaraFaculty of Electrical Engineering, 2007-03-09)
      Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ...
    • Prediction of classroom speech clarity using backpropagation neural network 

      Paularaj, M. P.; Sazali, Yaacob; Ahmad Nazri; Thagirarani, M (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 ...
    • Short Term Load Forecasting using Functional Link Network 

      Muthukumaran, Sithambaram; Thyagarajah, K.; Paulraj, Murugesa Pandiyan, Prof. Madya Dr. (EuroJournals Publishing, 2011-04)
      Short Term Load Forecasting (STLF) is an important tool for successful planning and operation of power generating stations. This paper proposes neural network algorithm for STLF using Functional Link Neural Network (FLN) ...