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- Wladyslaw Kaminski, Pawel Strumillo
- IEEE Trans. Neural Networks
- 1997

This paper deals with optimization of the computations involved in training radial basis function (RBF) neural networks. The main contribution of the reported work is the method for network weights calculation, in which the key idea is to transform the RBF kernels into an orthonormal set of functions (using the standard Gram-Schmidt orthogonalization). This… (More)

- Pawel Strumillo, Wladyslaw Kaminski
- ESANN
- 2001

Approximation capabilities of single non-linear layer networks, that feature a single global minimum of the error function are addressed. Bases of different transfer functions are tested (Gaussian, sigmoidal, multiquadratics). These functions are orthogonalised in an incremental manner for training and restored back to the original basis for network… (More)

- E. Jach-Szakiel, J. Skrzypski, Wladyslaw Kaminski
- 2005

The aim of this work was to optimize a model which gives a possibility of evaluating the localization of EMEP monitoring stations. To estimate if the location of air monitoring stations was correct, a single-layer artificial neural network (ANN) was used. In the procedure of unsupervised network training, a standard competitive training based on the k-means… (More)

- Kamil Kaminski, Wladyslaw Kaminski, Pawel Strumillo
- ICAISC
- 2004

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