This project was done to evaluate the performance of the back propagation algorithm for the handwritten digits recognition.Master of Science (Computer Control and Automation
Abstract: The application design of license plate pattern recognition using the Backpropagation neur...
Background: It is a chalange to build a program thatbehave intelligent like human. Specially how to ...
In the paper we present the theoretical development of the normalized backpropagation, and we compar...
This project was done to evaluate the performance of the back propagation algorithm for the handwrit...
A Neural Network is a powerful data modeling tool that is able to capture and represent complex inpu...
Letter Recognition using Backpropagation Algorithm is an application to analyze the letter data and...
This research is aimed to implement feedforward backpropagation algorithm for digit handwritten reco...
There are many successful applications of Backpropagation (BP) for training multilayer neural networ...
This work describes the basic concepts and principles in the field of neural networks. Closer then t...
One of the most classical applications of the Artificial Neural Network is the character recognition...
We are developing a hand-printed character recognition system using a multi-layered neural net train...
Recognizing handwritten characters, the accuracy of the optical character recognition is usually not...
Fingerprint recognition merupakan sistem pengenalan sidik jari manusia sebagai identitas yang bisa d...
One of the most classical applications of the Artificial Neural Network is the character recognition...
This work describes the basic concepts and principles in the field of neural networks. Closer then d...
Abstract: The application design of license plate pattern recognition using the Backpropagation neur...
Background: It is a chalange to build a program thatbehave intelligent like human. Specially how to ...
In the paper we present the theoretical development of the normalized backpropagation, and we compar...
This project was done to evaluate the performance of the back propagation algorithm for the handwrit...
A Neural Network is a powerful data modeling tool that is able to capture and represent complex inpu...
Letter Recognition using Backpropagation Algorithm is an application to analyze the letter data and...
This research is aimed to implement feedforward backpropagation algorithm for digit handwritten reco...
There are many successful applications of Backpropagation (BP) for training multilayer neural networ...
This work describes the basic concepts and principles in the field of neural networks. Closer then t...
One of the most classical applications of the Artificial Neural Network is the character recognition...
We are developing a hand-printed character recognition system using a multi-layered neural net train...
Recognizing handwritten characters, the accuracy of the optical character recognition is usually not...
Fingerprint recognition merupakan sistem pengenalan sidik jari manusia sebagai identitas yang bisa d...
One of the most classical applications of the Artificial Neural Network is the character recognition...
This work describes the basic concepts and principles in the field of neural networks. Closer then d...
Abstract: The application design of license plate pattern recognition using the Backpropagation neur...
Background: It is a chalange to build a program thatbehave intelligent like human. Specially how to ...
In the paper we present the theoretical development of the normalized backpropagation, and we compar...