Design and implemtation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayyawi by Jabbar Hayyawi, Mustafa

“…Design and development an adaptive learning algorithm controller ALAC of position the actuators is presented in real time parallel manipulator based on artificial neural network ANN……”
Get full text

Comparison of intelligent approaches for cycle time prediction in injection moulding of a medical device product by Kariminejad, Mandana, Tormey, David, Huq, Saif, Morrison, Jim, McAfee, Marion

“…The relationship between the process input variables and the resulting cycle time is mapped with an artificial neural network (ANN) and an adaptive neuro-fuzzy system (ANFIS). …”
Get full text

Integration of Artificial Intelligence in sustainable manufacturing: current status and future opportunities by Agrawal, Rohit, Majumdar, Abhijit, Kumar, Anil, Luthra, Sunil

“…Content analysis of extant literature reveals that Genetic Algorithm (GA), Artificial Neural Network (ANN), and Fuzzy Logic are the most widely used AI techniques in SM. …”
Get full text

Sequential process of Mel Frequency Cepstrum Coefficient (MFCC) and Binary Particle Swarm Optimization (BPSO) technique for improving the performance of Multi-Layer Perceptron (MLP... by Zabidi, Azlee

“…The infant cry signals with asphyxia have distinct patterns which can be recognized with pattern classifiers such as Artificial Neural Network (ANN). This study investigates the performance of feature selection techniques namely F-Ratio, Orthogonal Lest Square (OLS) and Binary Particle Swarm Optimisation (BPSO) analysis in selecting optimal features extracted from feature extraction technique; Mel Frequency Cepstrum Coefficient (MFCC). …”
Get full text

Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization by Wong, Yong Jie, Arumugasamy, Senthil Kumar, Jewaratnam, Jegalakshimi

“…No review discussed the role of different training algorithms in artificial neural network on the estimation of biopolymerization performance. …”

Nature-Inspired cognitive evolution to play Ms. Pac-Man by Tse, Guan Tan, Jason Teo, Patricia Anthony

“…This paper investigates the abilities of Evolution Strategies (ES) to evolve feed-forward artificial neural network’s internal parameters (i.e. weight and bias values) for automatically generating Ms. …”
Get full text

Artificial Neural Controller Synthesis in Autonomous Mobile Cognition by Chin Kim On, Jason Teo

“…The Pareto-frontier Differential Evolution (PDE) algorithm is utilized to generate the Pareto optimal sets through a 3-layer feed-forward artificial neural network that optimize the conflicting objectives of robot behavior and network complexity, where the two different types of robot behaviors are phototaxis and RF-localization, respectively. …”
Get full text
Get full text

Streamflow simulation and forecasting using remote sensing and machine learning techniques by Eugene Zhen Xiang Soo, Ren Jie Chin, Lloyd Ling, Yuk Feng Huang, Jin Long Lee, Foo Wei Lee

“…Five ML models, including K-Nearest Neighbours (KNN), Support Vector Machines (SVM), Random Forests (RF), Artificial Neural Network (ANN), and Long Short-Term Memory (LSTM) were tested, with 25 different model configurations trained on datasets from Malaysia’s Department of Irrigation and Drainage (DID) and climate data from NASA’s Giovanni Portal. …”
Get full text
Get full text

Evaluation of contemporary computational techniques to optimize adsorption process for simultaneous removal of COD and TOC in wastewater by Alhothali, Areej, Khurshid, Hifsa, Mustafa, Muhammad Raza Ul, Moria, Kawthar Mostafa, Rashid, Umer, Bamasag, Omaimah Omar

“…This study was aimed at evaluating the artificial neural network (ANN), genetic algorithm (GA), adaptive neurofuzzy interference (ANFIS), and the response surface methodology (RSM) approaches for modeling and optimizing the simultaneous adsorptive removal of chemical oxygen demand (COD) and total organic carbon (TOC) in produced water (PW) using tea waste biochar (TWBC). …”

A new modern scheme for solving fractal–fractional differential equations based on deep feedforward neural network with multiple hidden layer by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Majid, Zanariah Abdul, Salahshour, Soheil

“…Originally invented for machine learning technique, artificial neural network (ANN) is cutting-edge scheme that have shown promising result in solving the fractional differential equations (FDEs). …”

Development of fault detection and diagnosis for reactor cooling system by using artificial intelligent techniques by Abdul Rahman, R. Z., Syafiee Anuar, M. A., Mohd Aziz, M. A. F., Che Soh, A., Mohd Noor, S. B., Abdul Karim, J.

“…For this study, two artificial intelligence techniques have been applied which are Adaptive Neuro Fuzzy Inference System (ANFIS) for system modelling and Artificial Neural Network (ANN) to diagnose the fault on a reactor cooling system. …”

Optimization of computational intelligence approach for the prediction of glutinous rice dehydration by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…BACKGROUND: Five computational intelligence approaches, namely Gaussian process regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees (EoT) and support vector machine (SVM), were used to describe the evolution of moisture during the dehydration process of glutinous rice. …”

Spatial assessment of Langat river water quality using chemometrics by Juahir, Hafizan, Md Zain, Sharifuddin, Aris, Ahmad Zaharin, Yusoff, Mohd Kamil, Mokhtar, Mazlin

“…The present study deals with the assessment of Langat River water quality with some chemometrics approaches such as cluster and discriminant analysis coupled with an artificial neural network (ANN). The data used in this study were collected from seven monitoring stations under the river water quality monitoring program by the Department of Environment (DOE) from 1995 to 2002. …”
Get full text

A Hybrid Method for Prediction and Assessment Efficiency of Decision Making Units: Real Case Study: Iranian Poultry Farms by Mohd Yusuff, Rosnah, Rahimi, Iman, Behmanesh, Reza

“…Their methodology is comprised of data envelopment analysis and some data mining techniques same as artificial neural network (ANN), decision tree (DT), and cluster analysis (CA). …”
Get full text

Neural network modeling for prediction of weld bead geometry in laser microwelding by Ismail, Mohd Idris Shah, Okamoto, Yasuhiro, Okada, Akira

“…The present work was conducted to establish an intelligent algorithm to build a simplified relationship between process parameters and weld bead geometry that can be easily used to predict the weld bead geometry with a wide range of process parameters through an artificial neural network (ANN) in laser microwelding of thin steel sheet. …”
Get full text

Online handwritten signature recognition by length normalization using up-sampling and down-sampling by Malallah, Fahad Layth, Syed Ahmad, Sharifah Mumtazah, Wan Adnan, Wan Azizun, Arigbabu, Olasimbo Ayodeji, Iranmanesh, Vahab, Yussof, Salman

“…Furthermore, online signature verification system is also proposed by using both Principal Component Analysis (PCA) for feature extraction and Artificial Neural Network (ANN) for classification. The SIGMA database, which has more than 6,000 genuine and 2,000 forged signature samples taken from 200 individuals, is used to evaluate the effectiveness of the proposed technique. …”

Comparison of feed forward neural network training algorithms for intelligent modeling of dielectric properties of oil palm fruitlets by Adedayo, Ojo O., Mohd Isa, Maryam, Che Soh, Azura, Abbas, Zulkifly

“…In this study, an Artificial Neural Network (ANN) was designed, optimized and deployed to model the dielectric phenomena of microwave interacting with oil palm fruitlets within the frequency range of 2-4GHz. …”
Get full text

Dynamic voltage restorer for efficient detection and compensation of voltage SAG using ANN based LMS as a new control strategy by Waqas, Usama, Mohd Radzi, Mohd Amran, Mariun, Norman

“…This paper proposes an Artificial Neural Network (ANN) based on Least Mean Square Estimation Method (LMS) control system strategy; for detection and compensation of voltage sag with faster response time and accuracy for DVR. …”

Kaedah Kolorimetri untuk Analisis Kuantitatif Kapsaisin Secara Pencaman Corak Menggunakan Jaringan Neural Tiruan by Mat Arip, Mohamad Nasir, Ahmad, Musa, Mokhtar, Ahmed Mahir, Taib, Mohd. Nasir, Heng, Lee Yook

“…A quantitative study for capsaicin based on the use of 2,6-dichloro-pbenzoquinone- 4-chlorimide (Gibbs reagent) and artificial neural network (ANN) has been carried out. The characterization include pH optimization, effect of reagent concentration, dynamic range of capsaicin concentration, photo stability, limit of detection and reproducibility. …”
Get full text

Transient security assessment for power system stability: a review on artificial intelligence approach by Al-Masri, Ahmed Naufal A., Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Jasni, Jasronita, Mariun, Norman

“…In this proposed method, Artificial Neural Network (ANN) and Fuzzy techniques are able to use in term of classification, prediction and to determine the system security status. …”
Get full text