@article{MAKHILLIJSC20083320923,
    title = {BImplementation of High Speed Face Recognition Based on Karhunen Loeve Transform and Fisher’s Discriminant, Radial Basis Function of Echo State Neural Network},
    journal = {International Journal of Soft Computing},
    volume = {3},
    number = {3},
    pages = {248-253},
    year = {2008},
    issn = {1816-9503},
    doi = {ijscomp.2008.248.253},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2008.248.253},
    author = {Srinivasa Rao Madane,Wahidha Banu,Purushothaman Srinivasan and},
    keywords = {ESNN,RBF,RNN,ligh speed,face recognition},
    abstract = {Recently proposed approach to recognitize facial expressions have been proposed Jager with the so called Echo State Neural Network (ESNN). The ESSN approach assumes a sort of "block box" operability of the network and clients a broad applicability to several different problems using same principle, here we proposes a simplified version of ESNN which we call a simple echo state network which exhibits good results in memory capacity and facial matching and recognition which allows a better understating of the capability and restriction of ESNN. ESSN gives promising result when the input are distorted. Simulation results show that a proposed system (ESNN) achieves a excellent performance with high training and recognition speed.}
    }