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.
|Number of pages||6|
|Journal||International Journal of Soft Computing|
|Publication status||Published - 01-12-2008|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Modelling and Simulation