Explaining the foundation of cognitive abilities in the processing of information by neural
systems has been in the beginnings of biophysics since McCulloch and Pitts pioneered work …

Im Grundlagenteil werden die Kernkomponenten, Lernregeln, Netztypen, Eigenschaften und
Probleme neuronaler Netze erörtert. Der Anwendungsteil bezieht sich auf aktuelle …

It is shown that neural networks (NNs) are efficient and effective tools for fitting potential
energy surfaces. For H2O, a simple NN approach works very well. To fit surfaces for HOOH …

Several psychiatric and neurological conditions affect the semantic organization and content
of a patient's speech. Specifically, the discourse of patients with schizophrenia is frequently …

The ability of the human brain to carry out logical reasoning can be interpreted, in general,
as a by-product of adaptive capacities of complex neural networks. Thus, we seek to base …

In this paper Product-Units neural networks (PUNNs), which probably have never been used
within the field of hydrology, are introduced and applied for catchment runoff forecasting in …

Numerous cortical disorders affect language. We explore the connection between the
observed language behavior and the underlying substrates by adopting a …

Abstract Sigma–Pi–Sigma neural networks are known to provide more powerful mapping
capability than traditional feed-forward neural networks. The L 1/2 regularizer is very useful …

Cognitive functions rely on the extensive use of information stored in the brain, and the
searching for the relevant information for solving some problem is a very complex task …

Background The complexity of our contemporary medical practice has impelled the
development of different decision-support aids based on artificial intelligence and neural …