Tag: Prediction

Students, primary school, dropout students.

The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm

In this research, the ARIMA model of the time series has been applied for the prediction of the rate of the dropout of the primary schools for the male and female students during the period (2007-2015) by estimating the auto-correlation and partial coefficients. It shows that the time series is

Economic Prediction,Money-Time.

A Neuro Solution for Economic Diagnosis and Prediction

The paper present a solution for the economic activity evolution diagnostic and prediction by means of a set of indicators. Starting from the indicators set, there is defined a measure on the patterns set, measure representing a scalar value that characterizes the activity analyzed at each time moment. A pattern

Time-Delay Artificial Neural Network Computing Models for Predicting Shelf Life of Processed Cheese

This paper presents the capability of Time–delay artificial neural network models for predicting shelf life of processed cheese. Datasets were divided into two subsets (30 for training and 6 for validation). Models with single and multi layers were developed and compared with each other. Mean Square Error, Root Mean Square

High Performance Data Mining by Genetic Neural Network

Data mining in computer science is the process of discovering interesting and useful patterns and relationships in large volumes of data. Most methods for mining problems is based on artificial intelligence algorithms. Neural network optimization based on three basic parameters topology, weights and the learning rate is a powerful method.

An Efficient Combined Meta-Heuristic Algorithm for Solving the Traveling Salesman Problem

The traveling salesman problem (TSP) is one of the most important NP-hard Problems and probably the most famous and extensively studied problem in the field of combinatorial optimization. In this problem, a salesman is required to visit each of n given nodes once and only once, starting from any node and returning