some studies linked the computational power of abstract computing systems based on multiset rewriting to Petri nets and the computation power of these nets to pology. In turn, the ...
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...
Abstract. This is just a glimpse to the fruitful and constant preoccupation of computer science to try to get inspired by biology, at various levels. Besides briefly discussing th...
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...