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A Convolutional Neural Network VLSI for Image Recognition Using Merged/Mixed Analog-Digital Architecture
"... Abstract. Hierarchical convolutional neural networks are a well-known robust image-recognition model. In order to apply this model to robot vision or various intelligent vision systems, its VLSI implementation with high performance and low power consumption is required. This paper proposes a convolu ..."
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Cited by 1 (0 self)
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convolutional network VLSI architecture using a hybrid approach composed of pulse-width modulation (PWM) and digital circuits. We call this approach merged/mixed analog-digital architecture. The VLSI includes PWM neuron circuits, PWM/digital converters, digital adder-subtracters, and digital memory. We have
Image Recognition Using Merged/Mixed Analog-Digital Architecture
"... Abstract: Hierarchical convolutional neural networks are a well-known robust image-recognition model. In order to apply this model to robot vision or various intelligent vision systems, its VLSI implementation with high performance and low power con-sumption is required. This paper proposes a VLSI c ..."
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convolutional network architecture using a hybrid approach composed of pulse-width modulation (PWM) and digital circuits. We call this approach merged/mixed analog-digital architecture. The VLSI chip includes PWM neuron circuits, PWM/digital converters, digital adder-subtracters, and digital memory. We have
Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms
- in Biomedical Circuits and Systems Conference (BioCAS) (Hsinchu: IEEE
, 2014
"... Advancing the size and complexity of neural network models leads to an ever increasing demand for computational resources for their simulation. Neuromorphic devices offer a number of advantages over conventional computing architectures, such as high emulation speed or low power consumption, but this ..."
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Cited by 2 (0 self)
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Advancing the size and complexity of neural network models leads to an ever increasing demand for computational resources for their simulation. Neuromorphic devices offer a number of advantages over conventional computing architectures, such as high emulation speed or low power consumption
LumiNet An Organic Interactive Illumination Network Diploma Thesis at the Media Computing Group
"... I hereby declare that I have created this work completely on my own and used no other sources or tools than the ones listed, and that I have marked any citations accordingly. Hiermit versichere ich, dass ich die vorliegende Arbeit selbständig verfasst und keine anderen als die angegebenen Quellen un ..."
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I hereby declare that I have created this work completely on my own and used no other sources or tools than the ones listed, and that I have marked any citations accordingly. Hiermit versichere ich, dass ich die vorliegende Arbeit selbständig verfasst und keine anderen als die angegebenen Quellen und Hilfsmittel benutzt sowie Zitate kenntlich gemacht habe.
Results 1 - 10
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