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IJCNN
2006
IEEE
15 years 9 months ago
Backpropagation for Population-Temporal Coded Spiking Neural Networks
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
Benjamin Schrauwen, Jan M. Van Campenhout
IJCNN
2006
IEEE
15 years 9 months ago
Classification by means of Evolutionary Product-Unit Neural Networks
César Hervás-Martínez, Franci...
134
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ISDA
2006
IEEE
15 years 9 months ago
Modular Neural Network Task Decomposition Via Entropic Clustering
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
Jorge M. Santos, Luís A. Alexandre, Joaquim...
ISNN
2005
Springer
15 years 9 months ago
Select the Size of Training Set for Financial Forecasting with Neural Networks
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Hui ...
IDEAL
2004
Springer
15 years 8 months ago
An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses
Neural networks have played an important role in intelligent medical diagnoses. This paper presents an Improved Constructive Neural Network Ensemble (ICNNE) approach to three medic...
Zhenyu Wang, Xin Yao, Yong Xu