Journal ArticleDOI
Efficient digital implementation of the sigmoid function for reprogrammable logic
Matti Tommiska
- Vol. 150, Iss: 6, pp 403-411
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TLDR
Four previously published piecewise linear and one piecewise second-order approximation of the sigmoid function are compared with SIG-sigmoid, a purely combinational approximation and it is concluded that the best performance is achieved by SIG-Sigmoid.Abstract:
Special attention must be paid to an efficient approximation of the sigmoid function in implementing FPGA-based reprogrammable hardware-based artificial neural networks. Four previously published piecewise linear and one piecewise second-order approximation of the sigmoid function are compared with SIG-sigmoid, a purely combinational approximation. The approximations are compared in terms of speed, required area resources and accuracy measured by average and maximum error. It is concluded that the best performance is achieved by SIG-sigmoid.read more
Citations
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Journal ArticleDOI
FPGAs in Industrial Control Applications
TL;DR: The aim of this paper is to review the state-of-the-art of Field Programmable Gate Array (FPGA) technologies and their contribution to industrial control applications and two short case studies of Neural Network control systems designs targeting FPGAs are presented.
Proceedings ArticleDOI
Memristive Boltzmann machine: A hardware accelerator for combinatorial optimization and deep learning
Mahdi Nazm Bojnordi,Engin Ipek +1 more
TL;DR: A new class of hardware accelerators for large-scale combinatorial optimization and deep learning based on memristive Boltzmann machines is examined based on recently developed resistive RAM (RRAM) technology, achieving 57x higher performance and 25x lower energy with virtually no loss in the quality of the solution to the optimization problems.
Journal ArticleDOI
Efficient VLSI Implementation of Neural Networks With Hyperbolic Tangent Activation Function
Babak Zamanlooy,Mitra Mirhassani +1 more
TL;DR: An efficient approximation scheme for hyperbolic tangent function is proposed, based on a mathematical analysis considering the maximum allowable error as design parameter, which results in reduction in area, delay, and power in VLSI implementation of artificial neural networks with hyperbolics tangent activation function.
Journal ArticleDOI
Development and Implementation of Parameterized FPGA-Based General Purpose Neural Networks for Online Applications
TL;DR: This work describes a platform that offers a high degree of parameterization, while maintaining generalized network design with performance comparable to other hardware-based MLP implementations, and application of the hardware implementation of ANN with backpropagation learning algorithm for a realistic application.
Journal ArticleDOI
Efficient Digital Implementation of Extreme Learning Machines for Classification
TL;DR: This brief addresses the implementation of the powerful extreme learning machine (ELM) model on reconfigurable digital hardware (HW) and describes and analyzes two implementation approaches: one involving field-programmable gate array devices and one embedding low-cost low-performance devices such as complex programmable logic devices.
References
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Journal ArticleDOI
Cramming More Components Onto Integrated Circuits
TL;DR: Integrated circuits will lead to such wonders as home computers or at least terminals connected to a central computer, automatic controls for automobiles, and personal portable communications equipment as mentioned in this paper. But the biggest potential lies in the production of large systems.
Journal Article
Cramming More Components onto Integrated Circuits
TL;DR: Integrated circuits will lead to such wonders as home computers or at least terminals connected to a central computer, automatic controls for automobiles, and personal portable communications equipment as discussed by the authors. But the biggest potential lies in the production of large systems.
Book
Introduction to artificial neural systems
TL;DR: Jacek M. Zurada is a Professor with the Electrical and Computer Engineering Department at the University of Louisville, Kentucky and has published over 350 journal and conference papers in the areas of neural networks, computational intelligence, data mining, image processing and VLSI circuits.
Book
Computer Arithmetic: Algorithms and Hardware Designs
TL;DR: An indispensable resource for instruction, professional development, and research, Computer Arithmetic: Algorithms and Hardware Designs, Second Edition combines broad coverage of the underlying theories of computer arithmetic with numerous examples of practical designs, worked-out examples, and a large collection of meaningful problems.
Journal ArticleDOI
Minimization of Boolean functions
TL;DR: A systematic procedure is presented for writing a Boolean function as a minimum sum of products and specific attention is given to terms which can be included in the function solely for the designer's convenience.