Abstract Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real-time prediction of river flooding by proposing and evaluating different […]
An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction Read More »
Abstract Machine learning is known as the scientific study of various algorithms and statistics as well as models that can be used to create or perform certain tasks. These tasks
Abstract By introducing a genetic algorithm learning with a classifier system, we construct an AI model for oil volatility forecasting on the basis of Internal Information and External Information. The
An AI Model for Oil Volatility Forecasting Read More »
Abstract Optimizing the hyper-parameters of a multi-layer perceptron (MLP) artificial neural network (ANN) is not a trivial task, and even today the trial-and-error approach is widely used. Many works have
Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm Read More »
Abstract This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether
Traffic Prediction for Intelligent Transportation System using Machine Learning Read More »
