TITLE

Dynamics of microfabricated electronic neural networks

AUTHOR(S)
Schwartz, D. B.; Howard, R. E.; Denker, J. S.; Epworth, R. W.; Graf, H. P.; Hubbard, W.; Jackel, L. D.; Straughn, B.; Tennant, D. M.
PUB. DATE
April 1987
SOURCE
Applied Physics Letters;4/20/1987, Vol. 50 Issue 16, p1110
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We have studied the dynamics of a totally interconnected network of nonlinear amplifiers by building model electronic circuits using dense arrays of resistors and discrete amplifiers. Such models have been discussed recently in the context of spin glasses and neural networks. Even without optimization for speed, these circuits easily reproduce and extend the results of computer simulations in considerably less time.
ACCESSION #
9822682

 

Related Articles

  • Application of Extension Neural Network Type-1 to Fault Diagnosis of Electronic Circuits. Meng-Hui Wang // Mathematical Problems in Engineering;2012, Vol. 2012, Special section p1 

    The values of electronic components are always deviated, but the functions of the modern circuits are more and more precise, which makes the automatic fault diagnosis of analog circuits very complex and difficult. This paper presents an extension-neural-network-type-1-(ENN-1) based method for...

  • Application of Extension Neural Network Type-1 to Fault Diagnosis of Electronic Circuits. Meng-Hui Wang // Mathematical Problems in Engineering;2012, Vol. 2012, Special section p1 

    The values of electronic components are always deviated, but the functions of the modern circuits are more and more precise, which makes the automatic fault diagnosis of analog circuits very complex and difficult. This paper presents an extension-neural-network-type-1-(ENN-1) based method for...

  • BEHAVIORAL MODELING OF RF POWER AMPLIFIERS WITH MEMORY EFFECTS USING ORTHONORMAL HERMITE POLYNOMIAL BASIS NEURAL NETWORK. Yuan, X. H.; Feng, Q. Y. // Progress in Electromagnetics Research C;Jan2013, Vol. 34, p239 

    Behavioral modeling technique provides an efficient and convenient way to analyze and predict the performance of the RF power amplifiers (PAs) in system-level, and thus helps to construct a suitable predistorter to linearize the PA system. To accurately describe the nonlinear dynamic...

  • NORMAL FORM OF THE EQUIVARIANT HOPF BIFURCATION IN A NEURAL NETWORK INCORPORATING DISTRIBUTED DELAY. Ncube, Israel // Advances in Differential Equations & Control Processes;Aug2013, Vol. 12 Issue 1, p23 

    We consider a network of three identical neurons whose dynamical behaviour is governed by Hopfield's model incorporating distributed and discrete signal transmission delays to account for the finite switching speed of amplifiers (neurons). The model for such a network is a system of coupled...

  • NOVEL NEURAL NETWORK MODEL OF POWER AMPLIFIER PLUS IQ IMBALANCES. Kai Fu; Choi Look Law; Than Tun Thein // Progress in Electromagnetics Research B;2012, Vol. 46, p177 

    Traditionally, the transmitter (TX) IQ imbalances distortion and power amplifier (PA) distortion are separately modeled. In this paper, the behavior of the two distortions are unified, and characterized by a single model. Rectangular structured Focused Time-Delay Neural Network (RSFTDNN) is...

  • Artificial Neural Networks Based Approach for Parametric Optimization of CMOS Operational Amplifiers. Jafari, A. // International Review on Modelling & Simulations;Aug2011, Vol. 4 Issue 4, p2032 

    In this paper, a method for optimization and automated sizing of CMOS operational amplifiers (Op-Amps) is presented. In this method, artificial neural networks (ANNs) are employed in order to determine the device sizes that optimize the circuit performances. Neural networks can learn and...

  • Identification of the spatial distribution of conductivity by eddy current defectoscopy with application of artificial neural networks. Chady, T.; Spychalski, I.; Sikora, R. // AIP Conference Proceedings;5/18/2012, Vol. 1430 Issue 1, p449 

    The paper describes a system dedicated for detection and identification of small conducting particles in low conductivity objects. The lock-in amplifiers are used to measure very weak signals. A database of signals achieved for various configurations of test objects were created and utilised to...

  • POWER AMPLIFIER LINEARIZATION USING AN INDIRECT-LEARNING-BASED INVERSE TDNN MODEL. Hoon Hwangbo; Sung-Chan jung; Youngoo Yang; Cheon-Seok Park; Byung-Sung Kim; Wansoo Nah // Microwave Journal;Nov2006, Vol. 49 Issue 11, p76 

    In this article, an effective digital predistortion procedure of data acquisition, analysis, modeling and linearization for high power amplifiers is presented, based on tapped delay neural networks (TDNN). Memory effects of high power RF amplifiers were identified and modeled using baseband...

  • DVCC-Based Non-linear Feedback Neural Circuit for Solving System of Linear Equations. Ansari, M.; Rahman, Syed // Circuits, Systems & Signal Processing;Oct2011, Vol. 30 Issue 5, p1029 

    neural circuit to solve a system of simultaneous linear equations is presented. The circuit employs non-linear feedback to achieve a transcendental energy function that ensures fast convergence to the exact solution while enjoying reduction in hardware complexity over existing schemes. A new...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics