Unsupervised and supervised learning in radial-basis-function networks

F Schwenker, HA Kestler, G Palm - Self-Organizing neural networks: recent … - Springer
Learning in radial basis function (RBF) networks is the topic of this chapter. Whereas
multilayer perceptrons (MLP) are typically trained with backpropagation algorithms, starting …
被引用次数：48 相关文章

Unsupervised and Supervised Learning in Radial-Basis-Function Networks

F Schwenker, HA Kestler, G Palm - Self-Organizing Neural Networks - infona.pl
Learning in radial basis function (RBF) networks is the topic of this chapter. Whereas
multilayer perceptrons (MLP) are typically trained with backpropagation algorithms, starting …

Unsupervised and Supervised Learning in Radial-Basis-Function Networks

F Schwenker, HA Kestler, G Palm - Self-Organizing Neural Networks: Recent … - Springer
Learning in radial basis function (RBF) networks is the topic of this chapter. Whereas
multilayer perceptrons (MLP) are typically trained with backpropagation algorithms, starting …

Unsupervised and supervised learning in radial-basis-function networks

F Schwenker, HA Kestler, G Palm - Self-Organizing neural networks …, 2001 - dl.acm.org
Learning in radial basis function (RBF) networks is the topic of this chapter. Whereas
multilayer perceptions (MLP) are typically trained with backpropagation algorithms, starting …