Mixed-signal VLSI for neural and fuzzy sequential processors
نویسندگان
چکیده
A sequentiality study for mixed-signal VLSI implementations of neuro/fuzzy feedforward algorithms is presented. Implications of sequential processing and mixed-signal operation are derived. Basic building blocks for sequential mixed-signal neural and fuzzy computing are proposed, and two sequential example processors are described. Feedback from designed processors and subcircuits allows considering the technology constraints for analysis and extension to different sequentiality degrees.
منابع مشابه
Design Space Tradeoff in VLSI Implementations of Mixed-Signal Neuro-Fuzzy Processors
Mixed-signal VLSI design provides a tradeoff between the fast and compact but fixed analog implementations of neuro/fuzzy feedforward algorithms and the programmable but area and power consuming digital counterparts. In this paper, a sequentiality study of such systems is performed. Basic blocks for sequential mixed-signal neural and fuzzy computing are proposed, and two sequential example proc...
متن کاملGuest Editors’ Introduction: The Expanding World of Neural and Fuzzy Systems
UnivedyofPisa giving way to realistic expectations based on solid designs and a careful analysis of applications. A rapidly increasing number of industrial applications demonstrate that neural net hardware has moved beyond the laboratory stage and is proving itself in the real world. Nevertheless, many new concepts and ideas are still emerging, making it clear that this is far from a mature fie...
متن کاملDesign and Implementation of a High Speed Systolic Serial Multiplier and Squarer for Long Unsigned Integer Using VHDL
A systolic serial multiplier for unsigned numbers is presented which operates without zero words inserted between successive data words, outputs the full product and has only one clock cycle latency. 
The multiplier is based on a modified serial/parallel scheme with two adjacent multiplier cells. Systolic concept is a well-known means of intensive computational task through replication of fu...
متن کاملA VLSI convolutional neural network for image recognition using merged/mixed analog-digital architecture
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 VLSI convolutional network architecture using a hybrid approach composed of pulse-width modulation (PWM) and digit...
متن کاملDesign and Implementation of a High Speed Systolic Serial Multiplier and Squarer for Long Unsigned Integer Using VHDL
A systolic serial multiplier for unsigned numbers is presented which operates without zero words inserted between successive data words, outputs the full product and has only one clock cycle latency. The multiplier is based on a modified serial/parallel scheme with two adjacent multiplier cells. Systolic concept is a well-known means of intensive computational task through replication of func...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000