Implementation of a Neural Network Using Simulator and Petri Nets*
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 1
Abstract
This paper describes construction of multilayer perceptron by open source neural networks simulator - Neuroph and Petri net. The described multilayer perceptron solves logical function "xor "- exclusive or. The aim is to explore the possibilities of description of the neural networks by Petri Nets. The selected neural network (multilayer perceptron) allows to be seen clearly the advantages and disadvantages of the realizing through simulator. The selected logical function does not have a linear separability. After consumption of a neural network on a simulator was investigated implementation by Petri Nets. The results are used to determine and to consider opportunities for different discrete representations of the same model and the same subject area.
Authors and Affiliations
Nayden Nenkov, Elitsa Spasova
Keywords
Related Articles
- EP ID EP128119
- DOI 10.14569/IJACSA.2016.070155
- Views 82
- Downloads 0
Orientation Capture of a Walker’s Leg Using Inexpensive Inertial Sensors with Optimized Complementary Filter Design
Accelerometers and gyroscope are often referred to as inertial sensors. They detect movement and are used for motion tracking systems in many fields. In recent years they have become much smaller, lighter and cheaper whi...
A Calibrating Six-Port Compact Circuit using a New Technique Program
In this paper, a calibration of six-port reflectometer using a new technique program is presented. It has been shown that a calibration procedure is based on explicit method, the method that capturing the output wave for...
Feed Forward Neural Network Based Eye Localization and Recognition Using Hough Transform
Eye detection is a pre-requisite stage for many applications such as face recognition, iris recognition, eye tracking, fatigue detection based on eye-blink count and eye-directed instruction control. As the location of...
Prioritization of Software Functional Requirements: Spanning Tree based Approach
Requirements prioritization shows significant role during effective implementation of requirements. Prioritization of requirements is not easy process particularly when requirements are large in size. The current methods...
New Approach based on Machine Learning for Short-Term Mortality Prediction in Neonatal Intensive Care Unit
Mortality remains one of the most important outcomes to predict in Intensive Care Units (ICUs). In fact, the sooner mortality is predicted, the better critical decisions are made by doctors based on patient’s illness sev...