… In this study, the effect of the amount of data used in the design of artificial neural networks
(… tentative data obtained from 21 different experimental studies in the literature were selected …

… The electronic circuit used for our experiments (Supplementary Fig. 11) was a resistor-inductor-capacitor
oscillator (RLC oscillator) with a transistor embedded within it. It was designed …

… , a predictive model based on machine learning would allow chemists to preemptively screen
… -trained machine learning model has the potential to reduce the cost of doing experiments, …

… In this study, an artificial neural network model has been created in order to estimate …
algorithm used for training the MLP network is the feed-forward back propagation (FFBP) algorithm…

… Deep learning (DL), Artificial Neural Network (ANN), Kernel … (SVM) have been applied to
numerous fields owing to their … study, these machine learning algorithms (MLAs) are used to …

… proof-of-concept experiments adopt only the linear diffractive optical neuron for … training
towards performing distinct inference tasks. To measure the forward and backward propagated …

… algorithms used in the training processes of ANNs modeled with MLP is the feed forward (FF)
back propagation (BP) algorithm… the processed information propagated from the input layer …

… The experimentation results demonstrated that the approach provided guaranteed latency
… Back propagation neural network used by calculation module for pattern recognition and …

… temperature during the experiment time. Synthetic rock samples were selected to be used in
this study due to … The samples were obtained from PETRONAS Research Sdn. Bhd. (PRSB). …

… were divided into training group and testing group, which were used to establish and verify …
with the experimentally determined values. The predictive models developed in this study will …