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130
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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
15 years 4 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
NIPS
2003
15 years 5 months ago
Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?
This paper proposes neural mechanisms of transcranial magnetic stimulation (TMS). TMS can stimulate the brain non-invasively through a brief magnetic pulse delivered by a coil pla...
Yoichi Miyawaki, Masato Okada
122
Voted
NC
1998
101views Neural Networks» more  NC 1998»
15 years 5 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
143
Voted
IJCNN
2000
IEEE
15 years 8 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
145
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ICANN
2003
Springer
15 years 8 months ago
Knowledge Refinement Using Fuzzy Compositional Neural Networks
Fuzzy relations as representational tools and fuzzy compositional operators as reasoning components, are user in this paper in order to represent knowledge expressed in semantic ru...
Vassilis Tzouvaras, Giorgos B. Stamou, Stefanos D....