Add to ORKGA pattern recognition system was developed that successfully recognizes simulated spectra of five different types of transportation noise sources. The system generates hyperplanes during a training stage to separate the classes and correctly classify unknown patterns in classification mode. A feature selector in the system reduces a large number of features to a smaller optimal set, maximizing performance and minimizing computation
This study focuses on the development of a source identification algorithm inspired by the SHAZAM m...
The classification of signals through the use of pattern recognition techniques may be viewed as a s...
This paper presents an Expert Decision Support System for the identification of time-invariant, aero...
In this thesis a model system is developed which re- cognises targets, in particular aircraft, from...
This thesis focuses on the application of statistical techniques for pattern classification where th...
Purpose: This paper aims to present a system framework for classifying different models of military ...
Purpose – This paper aims to present a system framework for classifying different models of militar...
This project is to study the use of various mathematical or statistical methods and techniques used...
Spaceborne pattern recognition system for identifying and classifying objects in video dat
INTRODUCTION Actual noise monitoring systems have the shortcoming that although the intensity, durat...
Computer pattern recognition has been used to identify and separate acoustic emission (AE) signals t...
This report serves as illustrative purpose of learning experiences and project executions which auth...
A neural network approach to the classification of acoustic emissions of ground vehicles and helicop...
New method for system identification based on relaxation technique used in pattern recognitio
Pattern recognition algorithms, and mathematical techniques of estimation, decision making, and opti...
This study focuses on the development of a source identification algorithm inspired by the SHAZAM m...
The classification of signals through the use of pattern recognition techniques may be viewed as a s...
This paper presents an Expert Decision Support System for the identification of time-invariant, aero...
In this thesis a model system is developed which re- cognises targets, in particular aircraft, from...
This thesis focuses on the application of statistical techniques for pattern classification where th...
Purpose: This paper aims to present a system framework for classifying different models of military ...
Purpose – This paper aims to present a system framework for classifying different models of militar...
This project is to study the use of various mathematical or statistical methods and techniques used...
Spaceborne pattern recognition system for identifying and classifying objects in video dat
INTRODUCTION Actual noise monitoring systems have the shortcoming that although the intensity, durat...
Computer pattern recognition has been used to identify and separate acoustic emission (AE) signals t...
This report serves as illustrative purpose of learning experiences and project executions which auth...
A neural network approach to the classification of acoustic emissions of ground vehicles and helicop...
New method for system identification based on relaxation technique used in pattern recognitio
Pattern recognition algorithms, and mathematical techniques of estimation, decision making, and opti...
This study focuses on the development of a source identification algorithm inspired by the SHAZAM m...
The classification of signals through the use of pattern recognition techniques may be viewed as a s...
This paper presents an Expert Decision Support System for the identification of time-invariant, aero...