Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks
نویسندگان
چکیده
منابع مشابه
Training Feed-Forward Neural Networks Using Firefly Algorithm
In this work, firefly algorithm (FA) is used in training feed-forward neural networks (FNN) for classification purpose. In experiments, three well-known classification problems have been used to evaluate the performance of the proposed FA. The experimental results obtained by FA were compared with the results reported by artificial bee colony (ABC) algorithm and genetic algorithm (GA). Also, si...
متن کاملA Review Paper on Thinning of Image Using Zhang and Suen Algorithm and Neural Network
This review paper provides a concise survey on different techniques for thinning and their comparison in image processing. Thinning is one of the fundamental requirements is to represent the structural shape of digital images. This can be done by reducing it to a graph. This process may be completed by obtaining the skeleton of the particular region of the image or the full image using skeleton...
متن کاملImage Compression Using Feed Forward Neural Networks
Image compression technique is used to reduce the number of its required in representing image, which helps to reduce the storage space and transmission cost. In the present research work back propagation neural network training algorithm has been used. Back propagation neural network algorithm helps to increase the performance of the system and to decrease the convergence time for the training...
متن کاملPseudo-Entropy Based Pruning Algorithm for Feed forward Neural Networks
Design of artificial neural networks is an important and practical task:"how to choose the adequate size of neural architecture for a given application". One popular method to overcome this problem is to start with an oversized structure and then prune it to obtain simpler network with a good generalization performance. This paper presents a pruning algorithm based on pseudo-entropy of hidden n...
متن کاملA new algorithm to build feed forward neural networks
The paper presents a new algorithm to build a feedforward neural network with a single hidden layer. The algorithm starts with 1 hidden unit and the new hidden units are added to the network only if they improve the classification accuracy of the network on the cross-validation samples. The initialization of the weights and bias is done using Nguyen-Widrow method and the network is trained with...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications on Applied Electronics
سال: 2015
ISSN: 2394-4714
DOI: 10.5120/cae2015651750