The recent resurgence of interest in neural networks (NNs) has resulted in the application of NNs to a variety of problem domains. The initial results show great promise, which in tum is motivating research in appropriate implementation technologies. Several approaches are now being explored; at one extreme of the spectrum is algorithmic research for software running on a conventional computer, whereas at the other extreme researchers are exploring radically new computational structures, such as optical computing. A more conservative approach relies on adapting the existing silicon-based CMOS VLSI (complementary metal oxide semiconductor, very large scale integration) technology to the unique needs of NN computation
Engineering neural network systems are best known for their abilities to adapt to the changing chara...
Graduation date: 1989The brain has long attracted the interest of researchers. Some tasks, such as p...
Analog VLSI on-chip learning Neural Networks represent a mature technology for a large number of app...
The recent resurgence of interest in neural networks (NNs) has resulted in the application of NNs t...
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....
A compact neural network architecture using a hybrid digital-analog design is implemented in Very La...
Neural networks are employed in a large variety of practical contexts. However, the majority of such...
Biological systems process the analog signals such as image and sound efficiently. To process the in...
Artificial neural networks are systems composed of interconnected simple computing units known as a...
Algorithms, applications and hardware implementations of neural networks are not investigated in clo...
This thesis explores the design and implementation of a multilayer programmable optically coupled ne...
Microelectronic computers have encountered challenges in meeting all of today’s demands for informat...
This paper discusses some of the limitations of hardware implementations of neural networks. The aut...
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
Engineering neural network systems are best known for their abilities to adapt to the changing chara...
Graduation date: 1989The brain has long attracted the interest of researchers. Some tasks, such as p...
Analog VLSI on-chip learning Neural Networks represent a mature technology for a large number of app...
The recent resurgence of interest in neural networks (NNs) has resulted in the application of NNs t...
Rapid advances in the semiconductor industry have provided the technologies for the implementation o...
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....
A compact neural network architecture using a hybrid digital-analog design is implemented in Very La...
Neural networks are employed in a large variety of practical contexts. However, the majority of such...
Biological systems process the analog signals such as image and sound efficiently. To process the in...
Artificial neural networks are systems composed of interconnected simple computing units known as a...
Algorithms, applications and hardware implementations of neural networks are not investigated in clo...
This thesis explores the design and implementation of a multilayer programmable optically coupled ne...
Microelectronic computers have encountered challenges in meeting all of today’s demands for informat...
This paper discusses some of the limitations of hardware implementations of neural networks. The aut...
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
Engineering neural network systems are best known for their abilities to adapt to the changing chara...
Graduation date: 1989The brain has long attracted the interest of researchers. Some tasks, such as p...
Analog VLSI on-chip learning Neural Networks represent a mature technology for a large number of app...