Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
Johannes Fieres, Karlheinz Meier, Johannes Schemme...
Abstract—The demand for embedded computing power is continuously increasing and FPGAs are becoming very interesting computing platforms, as they provide huge amounts of customiza...
This work investigates the use of reconfigurable devices as computing platform for self-organizing embedded systems. Those usually consist of a set of distributed, autonomous node...
Randomly connecting networks have proven to be universal computing machines. By interconnecting a set of nodes in a random way one can model very complicated non-linear dynamic sy...