Search Results - (( variable training system algorithm ) OR ( java application customization algorithm ))
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DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS
Published 2011“…An integrated plant data preparation framework for seven boiler trips with related operational variables, has been proposed for the training and validation of the proposed artificial intelligent systems. …”
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Daily streamflow forecasting using simplified rule-based fuzzy logic system
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Article -
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SLIDING WINDOW TRAINING ALGORITHMS USING MLP-NETWORK FOR CORRELATED AND LOST PACKET DATA
Published 2012“…The research work also investigates several recursive algorithms including recursive Kalman filter (RKF) and extended Kalman filter (EKF) using extreme learning machine (ELM) and hybrid linear/nonlinear training technique by incorporating the fiee derivative concept. …”
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Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
Published 2008“…The paper conducts design optimization of CAMPRO 1.6L (S4PH) engine valve timing at various engine speeds using multi-objective genetic algorithm (MOGA) for the future variable valve timing (VVT) system research and development. …”
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Proceeding Paper -
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Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…The correlation of each system calls are examined using coefficient correlations of each selected system call variables. …”
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Effects of user selected conditions on modeling of dynamic systems using adaptive fuzzy model
Published 2001“…In this paper, major properties of an adaptive fuzzy model as a system identifier when trained by the back-propagation algorithm are discussed. …”
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Design of artificial intelligence based speed estimator for DC drives / Pauziah Saleh
Published 2006“…This was tested by training the system using minimum hidden nodes until reach at the optimum results for the closed loop step and also variable step function. …”
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Genetic ensemble biased ARTMAP method of ECG-Based emotion classification
Published 2012“…The optimal combination of λ and training sequence can be computed efficiently using a genetic permutation algorithm. …”
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Conference or Workshop Item -
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A study on advanced statistical analysis for network anomaly detection
Published 2005“…The correlation of each system calls are examined using coefficient correlations of each selected system call variables. …”
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Monograph -
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Application of Hybrid Evolutionary Algorithm and thematic map for rule set generation and visualization of chlorophyta abundance at Putrajaya lake / Lau Chia Fong
Published 2013“…HEA is run on the training set in order to provide insights on the relationships between input variables and the algae abundance. …”
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Developing a model to predict mathematics performance using neural network / Normaziah Abdul Rahman, Fadzilah Siraj and Noor Aishikin Adam
Published 2006“…This model allows the system administrator to train and normalize data as well as trains. …”
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Research Reports -
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Design of Artificial Neural Network (ANN) based rotor speed estimator for DC drives / Siti Mutrikah Abd Mokhsin
Published 2002“…The variable input data of armature voltage and armature current and the output rotor speed data was collected by using training data obtained by simulation of the drive system. …”
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Neural network based model predictive control for a steel pickling process
Published 2009“…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
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Article -
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Academic Achievement Prediction Model Using Neural Networks
Published 2002“…This model allows the system administrator to train and normalize data as well as trains. …”
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Analysis of boiler operational variables prior to tube leakage fault by artificial intelligent system
Published 2014“…This paper describes the rules of the Artificial Intelligent Systems to diagnosis the boiler variables prior to tube leakage occurrence. …”
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Conference or Workshop Item -
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One day ahead daily peak hour load forecasting by using invasive weed optimization learning algorithm based Artificial Neural Network
Published 2012“…The load forecasting sensibility is a key to make sure the electrical energy supply to customers without harm in economic aspect of power system operation. In this project, an Artificial Neural Network (ANN) trained by the Invasive Weed Optimization (IWO) learning algorithm is proposed for short term load forecasting (STLF) model. …”
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Student Project -
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Dynamics and control of underactuated systems with applications in robotics / Ahmad Azlan Mat Isa … [et al.]
Published 2011“…Underactuated systems are mechanical control systems with fewer controls than the number of configuration variables. …”
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Research Reports