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» Neural Network Algorithms for the p-Median Problem
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76
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AIIA
2007
Springer
15 years 7 months ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
IJCAI
1997
15 years 2 months ago
Evolvable Hardware for Generalized Neural Networks
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
TNN
2008
138views more  TNN 2008»
15 years 19 days ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
107
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ICONIP
2008
15 years 2 months ago
Neural Network Regression for LHF Process Optimization
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
Miroslaw Kordos
99
Voted
ICANN
2007
Springer
15 years 7 months ago
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
Leonardo Franco, José Luis Subirats, Jos&ea...