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ESANN
2004
13 years 10 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
ICMLA
2009
13 years 6 months ago
Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
Exergy is a way to sustainable development and may be defined as the maximum theoretical useful work, while exergy analysis identifies the sources, the magnitude and the causes of...
Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 months ago
On the effects of node duplication and connection-oriented constructivism in neural XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull
APIN
2004
116views more  APIN 2004»
13 years 8 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
NIPS
2004
13 years 10 months ago
On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks
Device mismatch in VLSI degrades the accuracy of analog arithmetic circuits and lowers the learning performance of large-scale neural networks implemented in this technology. We s...
Miguel Figueroa, Seth Bridges, Chris Diorio