In Biology/Psychology the capability of natural organisms to learn from the observation/interaction with conspecifics is referred to as social learning. Roboticists have recently developed an interest on social learning, since it might represent an effective strategy to enhance the adaptivity of a team of autonomous robots. In this study, we show that a methodological approach based on artifcia...

Te recent trend towards introducing digital instruments in the history of art is glaring at best. Like so many disruptive technologies new techniques in computer vision and natural language processing are about to fundamentally change the way we conduct and even envision our very disciplines. Image classifcation experiments for instance have become a trending topic in visual culture research an...

We describe a system that allows humans and computers to interact without using their hands. Our technology uses human facial traits replace traditional mice in novel way. It employs image processing techniques such as face detection eye extraction. captures an input standard webcam. Controlling the mouse cursor is accomplished by moving up, down, left, right, events are controlled blinks, whil...

the proposed iafc neural networks have both stability and plasticity because theyuse a control structure similar to that of the art-1(adaptive resonance theory) neural network.the unsupervised iafc neural network is the unsupervised neural network which uses the fuzzyleaky learning rule. this fuzzy leaky learning rule controls the updating amounts by fuzzymembership values. the supervised iafc ...

this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...