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ANNS
2007
15 years 8 months ago
An improved architecture for cooperative and comparative neurons (CCNs) in neural network
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
Md. Kamrul Islam
IEEEHPCS
2010
15 years 1 months ago
Calculating the impact factor of neural networks on optimization algorithm for sensor selection
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...
Abdolhossein Alipoor, Touraj Banirostam, Mehdi N. ...
KES
2006
Springer
15 years 6 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 1 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
16 years 13 days ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian