earticle

영어

Directions for the development of information and communication technology are changing to the age of the artificial intelligence-based ubiquitous IT technology. Researches have progressed up to recognize out various situations intelligently by the various informations obtained by using a several sensors. Through the development of the internet of things, we want to design an automatic recognition algorithm, and we want to attempt to determine the accuracy of the situation recognition. We want to design the Radial Basis Function Neural Networks(RBFNN) pattern classifier to processing vast amounts of data sequentially using the automatic recognition algorithm. Proposed RBFNN pattern classifier extends to the first-order linear equation, then, it can study through the least square method. And, it shows the pattern classification rules through the certified data, then, it shows the superiority of the pattern classifier by performance index for the situation awareness.