Adaptive behavior in recurrent neural networks with fixed weights

Ivan Tyukin

doi:10.1017/cbo9780511973437.008

ScienceGate Book Chapters

BOOK-CHAPTER

Adaptive behavior in recurrent neural networks with fixed weights

Ivan Tyukin

Year: 2011 Cambridge University Press eBooks Pages: 265-293 Publisher: Cambridge University Press

DOI: 10.1017/cbo9780511973437.008

Get Full-Text PDF Get Analytical Report

Abstract

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.

Keywords:

Artificial neural network Computer science Artificial intelligence Psychology

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.12

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks Stability and Synchronization

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Adaptive behavior in recurrent neural networks with fixed weights

Abstract

Metrics

Topics

Related Documents

Adaptive Capability of Recurrent Neural Networks with Fixed Weights for Series-Parallel System Identification

Adaptive Neural Filters with Fixed Weights

Convolutional Neural Networks with Fixed Weights

Mathematical underpinning of adaptive capability of recurrent neural network with fixed weights

Passivity of coupled memristive delayed neural networks with fixed and adaptive coupling weights