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IJCSA
2007
100views more  IJCSA 2007»
13 years 11 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
IJCES
2002
100views more  IJCES 2002»
13 years 11 months ago
Neural Network Decoders for Linear Block Codes
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
Ja-Ling Wu, Yuen-Hsien Tseng, Yuh-Ming Huang
JUCS
2007
208views more  JUCS 2007»
13 years 11 months ago
The Architecture and Circuital Implementation Scheme of a New Cell Neural Network for Analog Signal Processing
: It is a difficult problem that using cellular neural network to make up of analog signal processing circuit. This paper presented the architecture of new cellular neural network ...
Youren Wang, Zhiqiang Zhang, Jiang Cui
JUCS
2007
122views more  JUCS 2007»
13 years 11 months ago
Spiking Neural P Systems with Astrocyte-Like Control
: Spiking neural P systems are computing models inspired from the way the neurons communicate by means of spikes, electrical impulses of identical shapes. In this note we consider ...
Gheorghe Paun
IJON
2007
77views more  IJON 2007»
13 years 11 months ago
Reliability and stochastic synchronization in type I vs. type II neural oscillators
Neural reliability and stochastic synchronization are remarkable features of real neurons with important consequences for neural computation. Both phenomena are general properties...
Roberto Fdez. Galán, Bard Ermentrout, Natha...
IJON
2006
67views more  IJON 2006»
13 years 11 months ago
Robust persistent activity in neural fields with asymmetric connectivity
Modeling studies have shown that recurrent interactions within neural networks are capable of self-sustaining non-uniform activity profiles. These patterns are thought to be the n...
Cláudia Horta, Wolfram Erlhagen
IJON
2006
111views more  IJON 2006»
13 years 11 months ago
Dynamic pruning algorithm for multilayer perceptron based neural control systems
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
Jie Ni, Qing Song
COGSCI
2007
109views more  COGSCI 2007»
13 years 11 months ago
Understanding the Emergence of Modularity in Neural Systems
: Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when and how they emerge. It is a natural assum...
John A. Bullinaria
IJON
2008
73views more  IJON 2008»
13 years 11 months ago
Third-order generalization: A new approach to categorizing higher-order generalization
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...
Richard Neville
IJFCS
2008
81views more  IJFCS 2008»
13 years 11 months ago
Extended Spiking Neural P Systems with Decaying Spikes and/or Total Spiking
We consider extended variants of spiking neural P systems with decaying spikes (i.e., the spikes have a limited lifetime) and/or total spiking (i.e., the whole contents of a neuro...
Rudolf Freund, Mihai Ionescu, Marion Oswald