Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils by Goh, Anthony Teck Chee, Zhang, R. H., Wang, W., Wang, L., Liu, H. L., Zhang, W. G.

“…Subsequently, an artificial neural network (ANN) model was developed to provide estimates of the maximum ground settlement. …”
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A neural network based adaptive cruise control car-following model using 3-dimensional speed vectors by Chan, Wei Quan

“…This study proposes an artificial neural network-based ACC car-following model. A neural network is a non-parametric model and has excellent function fitting ability which will be highly adaptive and applicable to car-following models. …”
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Evaluation of carrier size and surface morphology in carrier-based dry powder inhalation by surrogate modeling by Farizhandi, Amir Abbas Kazemzadeh, Pacłaawski, Adam, Szlęk, Jakub, Mendyk, Aleksander, Shao, Yu-Hsuan, Lau, Raymond

“…The surrogate models constructed were then used to evaluate the key design parameters independently, which were otherwise difficult to determine based on experimental studies alone. Artificial neural network (ANN) was chosen as the surrogate modeling technique and models were constructed based on experimental data obtained from the literature. …”
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Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L by Zhan, Zhixin, Li, Hua

“…Here, three typical ML models: an artificial neural network (ANN), a random forest (RF), and a support vector machine (SVM), are trained effectively by a database produced by the CDM technique, and then further comparisons are made between the predicted results and published experimental data to verify the proposed platform. …”
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Surface settlement modelling using neural network by Thung, Jia Hui

“…As Artificial Intelligence gained popularity, the Artificial Neural Network (ANN) is a promising new forecasting method. …”
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Grouting in rock tunnels by data mining 2 by Lim, Kai Jian

“…This research aims to utilise artificial neural network (ANN) models as a data mining approach to uncover grouting knowledge from engineering data collected from the Jurong Rock Caverns project. …”
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FEM- and ANN-based design of CFRP-strengthened RC walls under close-in explosions by Tu, Huan, Yu, Qing Jun, Tan, Kang Hai, Fung, Tat Ching, Riedel, Werner

“…In this paper, an Artificial Neural Network (ANN) based model is developed for damage predictions. …”
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Flying mouse project by Janis Abols

“…Gesture classification, learning and recognition is achieved by using a multi-layer-perceptron, i.e. an artificial neural network, which works as an automatic data classifier, which does not require supervised learning, i.e. is capable of learning patterns independently. …”
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Advanced technology to predict equipment health condition by Yang, Chule

“…Methods: Considering the great evolutions of Artificial Intelligence and the developments of MATLAB Toolbox these years, Artificial Neural Network was chosen as my project method. …”
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Photovoltaic power forecasting using total sky imager by Ye, Penghao

“…Then the corrected data may be input to train a specialized artificial neural network (ANN) model. When the input data accumulated to a certain amount, the well-trained model can be applied in the forecast of the solar power output.…”
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Statistical downscaling of rainfall and temperature by Chang, Iao Tim

“…The statistical models proposed to be used are multiple linear regression model and artificial neural network model. Even though Singapore is a country located at the tropical region and experience tropical rainforest climate with plenty of rainfall throughout the year, it is still possible for Singapore to face water shortage issue. …”
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Study and analysis of neuromorphic processors and applications by Huang, Jingyao

“…In this project, review of artificial neural network theory inspirited by biological neural network is carried out. …”
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Machine learning based energy evaluation using air temperature and air velocity by Tan, Chi Wen

“…Predicted Mean Vote (PMV) will be used to analysis the thermal comfort level of the occupants. Artificial Neural Network (ANN) will be created using air velocity and air temperature data to predict the energy consumption and thermal comfort. …”
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Foreign exchange prediction and trading using feedforward neural networks by Han, Hongyi

“…Five different Artificial Neural Network architecture models such as Convolutional Neural Network (CNN), Multi-layered Perceptron Neural Network (MLP), Simple Recurrent Neural Network (SRNN), Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) are used to predict the foreign exchange rates of European Euro against US Dollar (EUR/USD), US Dollar against Japanese Yen (USD/JPY), and British Pound Sterling against US Dollar (GBP/USD). …”
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Reliability assessment of stability of underground rock caverns by Goh, Anthony Teck Chee, Zhang, Wengang

“…Subsequently, the limit state surface was determined through an artificial neural network approach following which a simplified reliability method of evaluating the probability of failure was developed.…”
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Impulsive noise reduction for transient Earth voltage-based partial discharge using Wavelet-entropy by Luo, Guomin, Zhang, Daming, Tseng, King Jet, He, Jinghan

“…With such features, a feed-forward back-propagation Artificial Neural Network (ANN) is adopted to recognize the actual PDs from noisy background. …”
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SISTEM CERDAS EVALUASI KELAYAKAN MAHASISWA MAGANG MENGGUNAKAN ELMAN RECURRENT NEURAL NETWORK (ERNN) ( Studi Kasus : Jurusan Manajemen Informatika, Fakultas Teknik dan Kejuruan, Uni... by , Agus Aan Jiwa Permana, , Drs.Widodo Prijodiprodjo, M.Sc.,EE.

“…Artificial Neural Network (ANN) can be used to solve specific problems such as prediction, classification, data processing, and robotics. …”

PENGENALAN HAND GESTURE DINAMIS MENGGUNAKAN JARINGAN SYARAF TIRUAN MULTI-LAYER PERCEPTRON DENGAN METODE PEMBELAJARAN BACKPROPAGATION by , Yuan Lukito, , Drs. Agus Harjoko, M.Sc., Ph.D

“…Recognition result acquired from output of trained artificial neural network and interpreted into command for computer. …”

APLIKASI METODE REGRESI DAN JARINGAN SYARAF TIRUAN UNTUK KAJIAN HKSA INSEKTISIDA TURUNAN FTALAMIDA by , Adi Syahputra, , Prof. Drs. Mudasir, M.Eng., Ph.D.

“…The analysis of relationship between insecticidal activities and descriptors has been done using Multi Linier Regression (MLR), Principal Component Regression (PCR) and Artificial Neural Network (ANN) methods. The best QSAR equation was obtained from ANN analysis indicated by its higher correlation coefficient compared to those of other methods, i.e. 0.88 with ANN architecture of 5-9-1. …”

PENERAPAN QUICKPROPAGATION DAN ATTRIBUTE REDUCTION BERDASARKAN INFORMATION GAIN DAN DISCERNIBILITY MATRIX UNTUK PREDIKSI STROKE ULANGAN by , JAZILUL ATHOYA, , Anifuddin Aziz, S.Si, M.Kom.

“…This reccurent stroke problem can be predicted thus to solving this problem a classifier that able to relate factors into right prediction is needed. Artificial neural network with quickpropagation is an improved and faster algorithm based on backpropagtaion. …”