[BOOK][B] Introduction to the theory of neural computation
JA Hertz - 2018 - taylorfrancis.com
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
[CITATION][C] Fundamentals of Artificial Neural Networks
MH Hassoun - 1995 - books.google.com
" In Fundamentals of Artificial Neural Networks, Mohamad Hassoun provides the first
systematic account of artificial neural network paradigms by identifying clearly the …
systematic account of artificial neural network paradigms by identifying clearly the …
[BOOK][B] Neural Networks: current applications
PGJ Lisboa - 1992 - dl.acm.org
Neural Networks | Guide books skip to main content ACM Digital Library home ACM home
Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search …
Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search …
FANNC: A fast adaptive neural network classifier
Z Zhou, S Chen, Z Chen - Knowledge and Information Systems, 2000 - Springer
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC
exploits the advantages of both adaptive resonance theory and field theory. It needs only …
exploits the advantages of both adaptive resonance theory and field theory. It needs only …
Feature Space Map** as a universal adaptive system
W Duch, GHF Diercksen - Computer Physics Communications, 1995 - Elsevier
The most popular realizations of adaptive systems are based on the neural network type of
algorithms, in particular feedforward multilayered perceptrons trained by backpropagation of …
algorithms, in particular feedforward multilayered perceptrons trained by backpropagation of …
Rce classifiers: Theory and practice
MJ Hudak - Cybernetics and System, 1992 - Taylor & Francis
Restricted Coulomb Energy (RCE) classifiers, as described by Scofield et al.(1988), are
shown to have a conceptual relationship with hyperspherical classifiers developed in the …
shown to have a conceptual relationship with hyperspherical classifiers developed in the …
Global analysis of recurrent neural networks
AVM Herz - Models of Neural Networks III: Association …, 1996 - Springer
This chapter reviews recurrent neural networks whose retrieval dynamics have been
analyzed on a global level using Lyapunov functions. Discrete-time and continuous-time …
analyzed on a global level using Lyapunov functions. Discrete-time and continuous-time …
Hierarchical neurocontroller architecture for robotic manipulation
LC Rabelo, XJR Avula - IEEE Control Systems Magazine, 1992 - ieeexplore.ieee.org
A hierarchical neurocontroller architecture consisting of two artificial neural network systems
for the manipulation of a robotic arm is presented. The higher-level network system …
for the manipulation of a robotic arm is presented. The higher-level network system …
Task allocation schemes for crowdsourcing in opportunistic mobile social networks
X Chen, B Deng - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
With the explosive proliferation of mobile devices, mobile crowdsourcing has become a new
paradigm involving a crowd of mobile users to collectively take large-scale tasks required by …
paradigm involving a crowd of mobile users to collectively take large-scale tasks required by …
[BOOK][B] Molecular mechanisms for sensory signals: recognition and transformation
EM Kosower - 2017 - degruyter.com
Pursuing the questions of how we learn and how memory is made, Edward Kosower
introduces a novel and rich approach to connecting molecular properties with the biological …
introduces a novel and rich approach to connecting molecular properties with the biological …