We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
Douglas J. Bakkum, Alexander C. Shkolnik, Guy Ben-...
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...
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Testing for time-related behaviors of PLC software is important and should be performed carefully. We propose a structural testing technique on Function Block Diagram(FBD) network...
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...