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ICANN
2007
Springer
15 years 4 months ago
Evolutionary Multi-objective Optimization of Spiking Neural Networks
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
Yaochu Jin, Ruojing Wen, Bernhard Sendhoff

Publication
644views
15 years 4 months ago
Benchmarking and Comparing Encog, Neuroph and JOONE Neural Networks
In this article the author benchmarks Neuroph, JOONE and Encog. These are the three major open source frameworks for Java. Encog also has a .Net version. I will give all three fram...
Tahere Taheri
IJCNN
2000
IEEE
15 years 2 months ago
Sensitivity Analysis for Conic Section Function Neural Networks
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
Lale Özyilmaz, Tülay Yildirim
EH
2005
IEEE
158views Hardware» more  EH 2005»
15 years 3 months ago
Hardware Evolution of Analog Circuits for In-situ Robotic Fault-Recovery
We present a method for evolving and implementing artificial neural networks (ANNs) on Field Programmable Analog Arrays (FPAAs). These FPAAs offer the small size and low power usa...
Dmitry Berenson, Nicolás S. Estévez,...
COMPLEX
2009
Springer
15 years 2 months ago
Complex Multi-modal Multi-level Influence Networks - Affordable Housing Case Study -
Most influence networks are depicted as nodes and links operating in the manner of a feed-forward neural network where both nodes and links appear to be homogenous in their nature....
Patrick Beautement, Christine Brönner