A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
Localization is an essential service for many wireless sensor network applications. While several localization schemes rely on anchor nodes and range measurements to achieve fine...
Gianni Giorgetti, Sandeep K. S. Gupta, Gianfranco ...
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
Abstract— NnSP is a stream-based programmable and codelevel statically reconfigurable processor for realization of neural networks in embedded systems. NnSP is provided with a n...
Hadi Esmaeilzadeh, Pooya Saeedi, Babak Nadjar Araa...
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...