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AEI
2000
120views more  AEI 2000»
10 years 1 months ago
A neural network approach for a robot task sequencing problem
This paper presents a neural network approach with successful implementation for the robot task-sequencing problem. The problem addresses the sequencing of tasks comprising loadin...
Oded Maimon, Dan Braha, Vineet Seth
ARTMED
2002
121views more  ARTMED 2002»
10 years 1 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
CDES
2006
146views Hardware» more  CDES 2006»
10 years 2 months ago
ANN-Based Spiral Inductor Parameter Extraction and Layout Re-Design
A neural network approach is presented for modeling and characterization of on-chip copper spiral inductors. The approach involves the creation of neural network models to map 3D ...
Abby A. Ilumoka, Yeonbum Park
SEKE
1993
Springer
10 years 5 months ago
A Neural Net-Based Approach to Software Metrics
Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limite...
Gary D. Boetticher, K. Srinivas, David Eichmann
ECAI
1998
Springer
10 years 5 months ago
The Neural Path to Dialogue Acts
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
M. Kipp
ICPR
2010
IEEE
10 years 5 months ago
Learning Sparse Face Features : Application to Face Verification
We present a low resolution face recognition technique based on a Convolutional Neural Network approach. The network is trained to reconstruct a reference per subject image. In cl...
Pierre Buyssens, Marinette Revenu
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
10 years 7 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
KES
2007
Springer
10 years 7 months ago
Making Financial Trading by Recurrent Reinforcement Learning
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
Francesco Bertoluzzo, Marco Corazza
CEC
2007
IEEE
10 years 7 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
ICANN
2009
Springer
10 years 8 months ago
Acquiring and Classifying Signals from Nanopores and Ion-Channels
The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselve...
Bharatan Konnanath, Prasanna Sattigeri, Trupthi Ma...
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