Abstract
Cellular Neural Network (CNN) is an analog parallel computing paradigm defined in space and characterized by the locality of connections between processing neurons. The behaviour of the CNN is defined by two template matrices and a template vector. CNN is designed by optimizing these weight coefficient for different applications. In this study, CNN was designed for corner detection by applying Back-propagation Algorithm.
Keywords
Cellular neural network
Computer science
Locality
Artificial neural network
Artificial intelligence
Pattern recognition (psychology)
Image processing
Image (mathematics)
Backpropagation
Space (punctuation)
Algorithm
Subject Areas
Neural Networks Stability and Synchronization
·Computer Networks and Communications ·Physical Sciences
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Advanced Memory and Neural Computing
·Electrical and Electronic Engineering ·Physical Sciences
Loading…