A modal learning adaptive function neural network applied to handwritten digit recognition

M Kang, D Palmer-Brown - Information Sciences, 2008 - Elsevier
A novel combination of the adaptive function neural network (ADFUNN) and on-line snap–
drift learning is presented in this paper and applied to optical and pen-based recognition of …

[PDF][PDF] Meta-adaptation: neurons that change their mode

D Palmer-Brown, M Kang, SW Lee - Proceeding of the 9th WSEAS …, 2008 - academia.edu
This paper will explore the integration of learning modes into a single neural network
structure in which layers of neurons and even individual neurons adopt different modes …

[PDF][PDF] Snap-drift ADaptive FUnction Neural Network (SADFUNN) for Optical and Pen-Based Handwritten Digit Recognition

M Kang, D Palmer-Brown - … Applications of Neural Networks (EANN'07), 2007 - Citeseer
Abstract An ADaptive Function Neural Network (ADFUNN) is combined with the on-line snap-
drift learning method in this paper to solve an Optical Recognition of Handwritten Digits …

[PDF][PDF] Sias International University, Henan **nZheng, 451150,(CHINA)

Y Liu, Y Zhu - hakon-art.com
In recent years, machine learning becomes a new research focus in the field of artificial
intelligence. It has been successfully applied in the complex systems such as: machine …

[PDF][PDF] Combining neural modes of learning for handwritten digit recognition

M Kang, D Palmer-Brown - Proceedings of Advances in …, 2008 - repository.uel.ac.uk
An ADaptive Function Neural Network (ADFUNN) is combined with the on-line snapdrift
learning method in this paper to perform optical and pen-based recognition of handwritten …

[CITATION][C] Building a Robust Classifier Based on Linear Discriminant Analysis

MJ Jamnejad, JD Hamid, R Ghader