Recent neurobiological evidence suggests that environmentally derived activity plays a central role in regulating neuronal growth and neuronal connectivity. Artificial neural networks with distributed representations display many features of knowing and learning that are known from biological intell
Opposition logic and neural network models in artificial grammar learning
β Scribed by John R. Vokey; Philip A. Higham
- Book ID
- 108104811
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 178 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1053-8100
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This special issue of Neurocomputing presents 15 original articles that are extended versions of selected papers from the 18th European Symposium on Artificial Neural Networks (ESANN), a major event for researchers in the fields of artificial neural networks, machine learning, computational intellig
## Abstract In this paper, the concern of accuracy in peak estimation by the artificial neural network (ANN) river flow models is discussed and a suitable statistical procedure to get better estimates from these models is presented. The possible cause for underestimation of peak flow values has bee
## Abstract The emergence of artificial neural network (ANN) technology has provided many promising results in the field of hydrology and water resources simulation. However, one of the major criticisms of ANN hydrologic models is that they do not consider/explain the underlying physical processes