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CEC
2007
IEEE
13 years 11 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
WSC
2004
13 years 6 months ago
Adaptive Wavelet Neural Network for Prediction of Hourly NOx and NO2 Concentrations
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
Zhiguo Zhang, Ye San
IJCNN
2000
IEEE
13 years 9 months ago
Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique
In our recent work, a general method called the stable state analysis technique was developed to determine constraints that the weights in the Hopfield energy function must satisf...
Gang Feng, Christos Douligeris
KES
2005
Springer
13 years 10 months ago
Annealing Sensor Networks
With a continuing improvement in the capabilities of intelligence per unit of energy, we should reconsider the organisation of sensor networks. We contend that solutions should be ...
Andrew Jennings, Daud Channa
IJCNN
2006
IEEE
13 years 11 months ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff