## Abstract Kohonen's model as the selfβorganizing model for the neural network can be considered as a kind of adaptive vector quantization algorithm. Numerous reports have been presented on the application of the model to practical problems. Although some results have been presented for the theore
On the stationary state of Kohonen's self-organizing sensory mapping
β Scribed by H. Ritter; K. Schulten
- Publisher
- Springer-Verlag
- Year
- 1986
- Tongue
- English
- Weight
- 751 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0340-1200
No coin nor oath required. For personal study only.
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Here the self-organization property of one-dimensional Kohonen's algorithm in its 2k ΒΉ neighbor setting with a general type of stimuli distribution and non-increasing learning rate is considered. A new definition of the winner is given, which coincides with the usual definition in implementations of
The response surface method incorporating multivariate spline interpolation (RSM-S) is a powerful technique for the formulation optimization of pharmaceuticals. However, no satisfactory method has been developed to evaluate the reliability of the optimal solution. We integrated bootstrap (BS) resamp