artificial neural network Archives

Using Artificial Neural Network to Discriminate Parkinson’s Disease from other Parkinsonisms by Focusing on Putamen of Dopamine Transporter SPECT Images: A Retrospective Study

It is still troublesome to distinguish Parkinson's disease from nervous system disorder brought on by other disorders at an not cancerous. To process images from dopamine bearer single-photon emission computerized axial tomography scanner, we used an pretended neural network (ANN)

Computational Rainfall Forecasting Models

Rainfall forecasting is critical for planning and understanding rainfall variability, which aids agricultural management in making decisions. Rainfall forecasting is a key scientific concern in meteorology. Many academics sought to develop linear models to predict rainfall, but the revelation of

Forecasting of Losses Due to Pod Borer, Pod Fly and Yield of Pigeonpea (Cajanus cajan) for Central Zone (CZ) of India by Using Artificial Neural Network

Pigeonpea (Cajanus cajan L.) is a valuable food legume that may be cultivated with minimal inputs under rainfed conditions. Starch, protein, calcium, manganese, crude fibre, fat, trace elements, and minerals abound in pigeonpea. The need of having a timely forecast

Compound Stratum Practice

A person's face can reveal a lot of information about them, including their age, gender, and identity. Faces play a crucial part in estimating and predicting a person's age and gender simply by looking at them. Computer vision and psychophysics

A Comparison of the Performance of Artificial Neural Network Algorithms in Facial Expression Recognition

In this study, the methodologies for distinguishing facial expressions are described. The purpose of this research is to show how to train the Single-Layer Neural Network (SLN), Back Propagation Algorithm (BPA), and Cerebellar Model Articulation Controller (CMAC) for identifying facial

Recent Development of Intelligent Shunt Fault Classifier for Nigeria 33-kV Power Lines

This research describes a novel way to employing artificial neural networks (ANNs) to improve transmission line protection. The suggested technique feeds four different neural network structures instantaneous voltages and currents on a transmission line during normal and fault conditions. The

Probabilistic Fatigue Assessment for Complex Engineering Structures with Time-dependent Surrogate Modelling

Thousands of simulations with nonlinear characteristics and hyperparameters are required for the dynamic probabilistic analysis of complex engineering structures, indicating that unacceptable computational loads exist. In this case, the efficiency and accuracy of complex structural dynamic probabilistic analysis are directly

Study on Dynamic Adsorption of Complex System In Solid-Liquid Phase Modelling Using Artificial Neural Networks

The aim of this project is to create an ANN model that can predict the dynamic adsorption of a complex system of adsorbent-adsorbate in the solid-liquid phase based on various parameters using an adsorption column. In the input layer, nine