Browsing by Subject "Neural networks (Computer science)"

Now showing items 1-20 of 36

    • 2-D analysis based ILC for linear time-variant discrete systems with multiple time delays 

      Lim, Eng Aik (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents Two-Dimensional (2-D) system analysis based Iterative Learning Control (ILC) methods for Linear Time-Variant (LTV) discrete systems with multiple time delays. Both the state delays and the input delays ...

    • Artificial Immune Systems (AIS) : an introduction 

      Hasnah, Ahmad (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-03)

    • Artificial neural network for the classification of steel hollow pipe 

      Nur Farahiyah, Mohamad; Hafizawati, Zakaria; Rakhmad Arief, Siregar; Hariharan, M.; Fauziah, Mat (Universiti Malaysia Perlis, 2009-10-11)
      Within industry, piping is a very important system that used to convey fluid (liquid and gases) from one location to another. Steel pipe is one of the commonly type of pipe that has been used since before. Crack on pipe ...

    • An automated cervical pre-cancerous diagnostic system 

      Nor Ashidi, Mat-Isa; Mohd Yusoff Mashor; Nor Hayati, Othman (Elsevier B.V., 2008-01)
      Objective: This paper proposes to develop an automated diagnostic system for cervical pre-cancerous. Methods and data samples: The proposed automated diagnostic system consists of two parts; an automatic feature extraction ...

    • Automatic generation of Swarm Robotic behaviors using multi-objective evolution 

      Chin, Kim On; Teo, Jason; Azali, Saudi (Universiti Malaysia Perlis, 2009-10-11)
      This paper investigates the utilization of a multiobjective approach for evolving artificial neural networks (ANNs) that act as controllers for a collective box-pushing task based on radio frequency (RF)-localization of a ...

    • 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 ...

    • Classification of binary insect images using fuzzy and gaussian artmap neural networks 

      Shahrul Nizam, Yaakob (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2006)
      Object recognition and classification is an essential routine in our daily lives. Our eyes act as a camera capturing the image of particular object and sending it to the brain to be recognized. Thus, the eye vision system ...

    • 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 ...

    • Color recognition algorithm using a neural network model in determining the ripeness of a Banana 

      Paulraj, Murugesapandian; Hema, Chengalvarayan Radhakrishnamurthy; R. Pranesh, Krishnan; Siti Sofiah, Mohd Radzi (Universiti Malaysia Perlis, 2009-10-11)
      This paper presents a simple color recognition algorithm using a Neural Network model and applied to determine the ripeness of a banana. The captured image of the banana is resized and its RGB color components are extracted. ...

    • Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network 

      Paulraj, M.P.; Mohd Shukry, Abdul Majid; Sazali, Yaacob; Mohd Hafiz, Fazalul Rahiman; R Pranesh, Krishnan (Universiti Malaysia Perlis, 2009-10-11)
      In this paper, a simple method for crack identification in steel plates based on the Frame Energy based Discrete Cosine Transformation [DCT] moments is presented. A simple experimental procedure is also proposed to measure ...

    • Design of neural PID controller for reduced order model 

      Gomathi, P.; Manigandan, T.; Devarajan, N. (Universiti Malaysia Perlis, 2009-10-11)
      The aim of this paper is to design a PID controller for higher order systems using the proposed model reduction method with neural networks. In a linear time invariant continuous system (LTICS) the coefficient matrix ...

    • Development and application of an enhanced ART-Based neural network 

      Keem, Siah Yap; Chee, Peng Lim; W.M Lee, Eric; Junita, Mohamed Saleh (Universiti Malaysia Perlis, 2009-10-11)
      The Generalized Adaptive Resonance Theory (GART) neural network is developed based on an integration of Gaussian ARTMAP and the Generalized Regression Neural Network. As in our previous work [13], GART is capable of online ...

    • Early diagnosis of Ischemia Stroke using neural network 

      Anita, Thakur; Surekha, Bhanot; Mishra, S.N. (Universiti Malaysia Perlis, 2009-10-11)
      Technological and computing evolution promoted new opportunities to improve the quality of life, in particular, the quality of early detection of acute disease. Many intelligent systems have been developed with the purpose ...

    • Estimation of potential solar energy in MTI region (Malaysia, Thailand and Indonesia) based on linear, nonlinear and artificial neural network models 

      Al-Sammarrae, Hudhaifa Mazin Abdulmajeed
      Solar radiation (SR) data offer information on the amount of the sun potential at a location on the earth during a specific time. These data are very important for designing sizing solar photovoltaic (PV) systems. Due to ...

    • A face recognition system using template matching and neural network classifier 

      Muhammad Firdaus, Hashim; Puteh, Saad; Mohamed Rizon, Mohamed Juhari; Shahrul Nizam, Yaakob (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      We develop a technique to identify an unknown person in a face image by using template matching and neural network classifier. The technique is separated into three main steps namely; preprocessing, feature extraction and ...

    • Face recognition using neural network 

      Azlan Zainul (Universiti Malaysia PerlisSchool of Mechatronic Engineering, 2008-03)
      This dissertation provides a study of camera-based face recognition research. There are two underlying motivations to conduct this project: the first is to study and analyze type of feature extraction method, and the second ...

    • Fine needle aspiration cytology evaluation for classifying breast cancer using artificial neural network 

      Nor Ashidi, Mat Isa; Esugasini, Subramaniam; Mohd Yusoff, Mashor; Nor Hayati, Othman (Science Publications, 2007)
      Thirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus ...

    • Generalization performance analysis between fuzzy ARTMAP and Gaussian ARTMAP neural network 

      Shahrul Nizam, Yaakob; Puteh, Saad (Universiti Malaya, 2007)
      This paper examines the generalization characteristic of Gaussian ARTMAP (GAM) neural network in classification tasks. GAM performance for classification during training and testing is evaluated using the k-folds cross ...

    • Global dynamics in neuro symbolic integration using energy minimization in mean field theory 

      Muraly Velavan, Doraisamy
      Logic program and neural networks are two important aspects in artificial intelligence. This thesis is part of an endeavour towards neural networks and logic programming integration. The goal in performing logic programming ...

    • Identification algorithms of flexible structure using neural networks 

      Ismail, Razali; Ismail, A.Y; Mat Darus, I.Z. (Institute of Electrical and Electronics Engineering (IEEE), 2006)
      This paper present an investigation into the development of identification system approaches for dynamic modelling characterization of a two dimensional flexible plate structures. The least square and recursive least square ...