Anomaly Detection of Attempt Through Genetic Algorithm and ANN

Network Anomaly Detection using PSO-ANN

In this work, the continue from the last research work done [20], thus it is proposed a data mining based anomaly detection system, aiming to detect volume anomalies, using Simple Network Management Protocol (SNMP) monitoring. The method is novel in terms of combining the use of Digital Signature of Network Segment (DSNS) with the evolutionary technique called Particle Swarm Optimization (PSO)[...

Anomaly Detection with ANN and SVM for Telemedicine Networks

inverse analysis of geomagnetic investigations for local anomaly detection using genetic algorithm

one of the most important goals in geomagnetic investigations is detecting local anomaly locations. regional anomaly can be simulating as a trend surface, and local anomalies will be detected by comparison of measured data and simulated trend surface. the problem is trying to find best coefficients of trend surface model using inverse methods based on modern optimization techniques, which are f...

Anomaly Detection through Registration

The goal of this research is to perform automatic, fast and accurate registration of volumetric data in 3-D space, as well as anomaly detection based on the registration results and domain knowledge. One important application domain is medical image registration. Anatomical structures vary considerably in appearance across individuals or within one individual over time, and any pathology may ag...

Forecasting GDP Growth Using ANN Model with Genetic Algorithm

Applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. Artificial Neural Networks (ANN) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. Most ANN models applied in Economics use the gradient descent method as their learning algorithm. However, t...