Ressourceneffiziente Realisierung pulscodierter neuronaler Netze

Tim KaulmannPaderborn, Univ., Diss., 200

Fehlertolerante neuronale Netze zur Approximation von Funktionen

Tag der Verteidigung: 11.07.2007Paderborn, Univ., Diss., 200

Neural Inspired Architectures for Nanoelectronics

Rückert U, Beiu V. Neural Inspired Architectures for Nanoelectronics. In: Sandoval F, ed. Second International Conference on intelligent Computing and Information Systems – ICICIS 2005. Lecture notes in computer science. Vol 4507. Cairo, Egypt: Springer Berlin Heidelberg; 2005: 1-2.Extremely down-scaled field effect transistor, innovative manufacturing of semiconductors, novel material and computing devices have led to rapid changes in the semiconductor industry which now allows more complex systems and more computing power per chip area than several years ago. Albeit these significant improvements novel technology nodes also offer unsolved problems to researchers and challenges to the designers. In this paper, we give a brief overview about actual trends and problems in the semiconductor industry and how the upcoming tasks can be solved by the designers and researchers