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IJIT
2004
13 years 10 months ago
A Comparison of First and Second Order Training Algorithms for Artificial Neural Networks
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...
EH
2003
IEEE
90views Hardware» more  EH 2003»
14 years 2 months ago
Evolving Sinusoidal Oscillators Using Genetic Algorithms
In the present paper, single-opamp sinusoidal oscillators are synthesized using genetic algorithms. The motivation is to evolve new topologies of oscillators using different activ...
Varun Aggarwal
SSDBM
2008
IEEE
149views Database» more  SSDBM 2008»
14 years 3 months ago
Query Planning for Searching Inter-dependent Deep-Web Databases
Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming what is referred to as the deep web. It is desirable to have systems that can pr...
Fan Wang, Gagan Agrawal, Ruoming Jin
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 26 days ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 9 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...