Gender recognition on real world faces based on shape representation and neural network by Arigbabu, Olasimbo Ayodeji, Syed Ahmad, Sharifah Mumtazah, Wan Adnan, Wan Azizun, Yussof, Salman, Iranmanesh, Vahab, Malallah, Fahad Layth

“…By combining the feature extraction technique with artificial neural network for classification, a recognition rate of 89.3% is attained.…”
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Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems by Shabanzadeh, Parvaneh, Yusof, Rubiyah, Shameli, Kamyar, Khanehzaei, Hajar

“…This research was to apply the combination of the particle swarm optimization method and artificial neural network training with the aim of building a quantitative model to forecast the size of copper nanoparticles (Cu-NPs) prepared in sodium alginate. …”
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Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil by Md Salleh, Liza, Rosland Abel, Stashia Eleaness, Zahedi, Gholamreza, Abd Rahman, Russly, Mohd Nasir, Hasmida, Syed Faua'ad, Syed Anuar

“…In this case, response surface methodology (RSM) and artificial neural network (ANN) were applied for the modelling and prediction of extraction yield of galls oil. …”
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Comparison of chemometrics methods for classification of sugarcane brix using visible and shortwave near-infrared technology by Ishkandar, C. D. M., Mat Nawi, Nazmi, Chen, Guangnan, Jensen, Troy, Mehdizadeh, Saman Abdanan

“…The Brix values were later classified using three classifier algorithms namely Bayesian discriminant analysis (BDA), artificial neural network (ANN) and support vector machine (SVM). …”
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Classification of aromatic herbs using artificial intelligent technique by Che Soh, Azura, Mohamad Yusof, Umi Kalsom, Mohamad Radzi, Nur Fadzilah, Ishak, Asnor Juraiza, Hassan, Mohd Khair

“…The output captured by the electronic nose gas sensors were classified using two types of artificial intelligent techniques: Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). …”
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Integration of dual intelligent algorithms in shunt active power filter by Abdul Rahman, Nor Farahaida, Mohd Radzi, Mohd Amran, Mariun, Norman, Che Soh, Azura, Abd Rahim, Nasrudin

“…This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). …”
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Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques by Mohamad Yusof, Umi Kalsom, Che Soh, Azura, Ishak, Asnor Juraiza, Hassan, Mohd Khair, Khamis, Shamsul

“…The output captured by electronic nose gas sensors was classified by using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). …”
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Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support by Abdullah, Samsuri, Ismail, Marzuki, Ahmed, Ali Najah, Abdullah, Ahmad Makmom

“…Association between PM10 and its contributing factors are complex and non-linear in nature, best captured by an Artificial Neural Network, which generates more accurate PM10 compared to the linear model. …”

A Voting Technique Of Multilayer Perceptron Ensemble For Classification Application by Talib, Hafizah

“…MLP is a model of artificial neural network, which is simple yet successfully applied in various applications. …”
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Intelligent Thermal Condition Monitoring Of Electrical Equipment Using Infrared Thermography by Huda, A. S. Nazmul

“…Implementation of an automatic diagnostic system based on artificial neural network reduces operating time, human efforts and also increases the reliability of system. …”
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Hardware And Software Development Of ECG Biometric System by Chia, Pei Kiak

“…In this project, Pan-Tompkins algorithm is used as feature extraction technique of ECG fiducial points while artificial neural network is used for identification system. …”
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A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification by Sa'ad, Mohamad Iqbal

“…Multilayed Perceptron (MLP), a type of artificial neural network (ANN) which is widely used in a classification problem is developed using MATLAB 7®. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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Design optimization of ANN-based pattern recognizer for multivariate quality control by Abdul Jamil, Muhamad Faizal

“…In recent years, the artificial neural network (ANN) based pattern recognition schemes has been developed for solving this issue. …”
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Voltage tracking of DC-DC CUK converter using neural network control by Bidin, Mohamed Noor Azman

“…The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. …”
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Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia by Hassan, Zulkarnain, Shamsudin, Supiah, Harun, Sobri, Abdul Malek, Marlinda, Hamidon, Nuramidah

“…The objectives of this study are to determine current and future climate change scenarios using statistical downscaling model (SDSM) and to assess climate change impact on river runoff using artificial neural network (ANN) and identifi-cation of unit hydrographs and component flows from rain-fall, evaporation and streamflow data (IHACRES) models, respectively. …”
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Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) by K.G., Tay, Muwafaq, Hassan, W. K., Tiong, Y. Y., Choy

“…The univariate data was converted to multivariate and ANFIS was chosen as it carries both advantages of Artificial Neural Network (ANN) and Fuzzy Inference System (FIS). …”
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