Soft-Computing Digital Architectures Using von Neumann Stochastic Data Representation

نویسندگان

  • Emil M. Petriu
  • E. M. Petriu
چکیده

This paper reviews the basics of the von Neumann stochastic data representation and its application to the development of digital neural network and fuzzy logic controller architectures.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

John von Neumann Institute for Computing Programmable Architectures for Realtime Music Decompression

c © 2007 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher ment...

متن کامل

From Control Flow to Dataflow

Are imperative languages tied inseparably to the von Neumann model or can they be implemented in some natural way on dataflow architectures? In this paper, we show how imperative language programs can be translated into dataflow graphs and executed on a dataflow machine like Monsoon. This translation can exploit both fine-grain and coarsegrain parallelism in imperative language programs. More i...

متن کامل

Flexible Ferroelectric-Capacitor Element for Low Power and Compact Logic-in-Memory Architectures

The “Von Neumann bottleneck” and large standby power become serious problems in recent deep-sub-micron technology. To solve these problems, this paper presents ferroelectric-based logic circuits called Flexible Ferroelectric-Capacitor (FFC) elements for logic-in-memory architectures. In an FFC element, storage and a logic function are integrated on non-volatile ferro-electric-capacitors to achi...

متن کامل

Estimating scour below inverted siphon structures using stochastic and soft computing approaches

This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation of maximum scour depth, location of the scour hole, location and height of the dune downs...

متن کامل

Minimum Birkhoff-von Neumann Decomposition

Motivated by the applications in routing in data centers, we study the problem of expressing an n × n doubly stochastic matrix as a linear combination using the smallest number of (sub)permutation matrices. The Birkhoff-von Neumann decomposition theorem proves that there exists such a decomposition, but does not give a representation with the smallest number of permutation matrices. In particul...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006