Building cellular neural network templates with a hardware friendly learning algorithm

SP Adhikari, H Kim, C Yang, LO Chua - Neurocomputing, 2018 - Elsevier
A general solution for the construction of Cellular Neural Network (CNN) weights (cloning
template) with Random Weight Change (RWC) algorithm is proposed. A target image for …

Study on disturbance attenuation of cellular neural networks with time-varying delays

H He, L Yan, M Jiang - Applied Mathematics and Computation, 2014 - Elsevier
The paper is concerned with the problem of disturbance attenuating controller design for
delayed cellular neural networks (DCNNs). Via combining four different states cases in …

Construction of CNN template via learning with random weight change algorithm

SP Adhikari, C Yang, H Kim… - CNNA 2016; 15th …, 2016 - ieeexplore.ieee.org
A construction method of CNN cloning template is proposed via learning with Random
Weight Change algorithm. For this learning, a target image for each input image is prepared …

Cellular Neural Networks Templates Learning Approach Based on Mutual Information and Firefly Algorithm for X-Ray Images de-noising

AI Sharaf, ME Abu El-Soud… - Mansoura Journal for …, 2019 - journals.ekb.eg
The Cellular Neural Network is a 2D array of analog processors which forms a parallel
computing framework. Themain key factors in this model are the values of the neighborhood …

Processing Large-Scale Images on Ace16k Using Discrete Wavelet Transform

S Sevgen - IU-Journal of Electrical & Electronics Engineering, 2012 - dergipark.org.tr
Image processing has crucial effects in many fields like biomedical applications, traffic
control, security, satellite systems and so on. Because of its improving importance, various …