Walter H. Delashmit

2008

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Walter H. Delashmit trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Russell Reed
  2. Mikko Lehtokangas
  3. Scott E. Fahlman
  4. G. Huang

Papers from Walter H. Delashmit's perspective

Ordered by how strongly the researchers Walter H. Delashmit trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
  2. Pruning algorithms-a survey
  3. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models
  4. The Cascade-Correlation Learning Architecture
  5. Modelling with constructive backpropagation
  6. Genetic evolution of the topology and weight distribution of neural networks
  7. Learning internal representations by error propagation
  8. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
  9. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  10. An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))

Their papers