In this paper we present the INSS system, a new hybrid approach based upon the principles
of KBANN networks. It represents an important improvement in comparison with its …

The past fifteen years are characterized by an exponential growth of the Web both in the
number of Web sites available and in the number of their users. This growth generated huge …

As a young discipline at the junction of computer science, artificial intelligence and cognitive
sciences, knowledge engineering aims at modelling knowledge of a specific domain to …

Arising from: JM Matthews et al. Nature 430, 51–53 (2004) Stars are spheres of hot gas
whose interiors transmit acoustic waves very efficiently. Geologists learn about the interior …

This chapter describes integration schemes for neuro-case based reasoning (neuro-CBR)
systems. Three major schemes are distinguished: the neural networks can be used to …

Case-based reasoning (CBR) is an approach of solving problem, which is based on the
reuse, by analogy, of past experiences called 'case'. Retrieval of cases is a primary step in …

We present in this paper a hybrid neuro-symbolic system called “CASEP2”, which combines
the case-based reasoning with an adequate artificial neural network “M-SOM-ART” for …

We aim at developing an operator support system which could be able to help and to guide
the operator in decision making during the control of the plastic injection moulding process …

Notre travail porte sur la surveillance industrielle, processus couramment décomposé en
deux phases: la détection et le diagnostic. Nous proposons ainsi un système dynamique …

L'apprentissage fait partie des expériences qui stimulent et structurent le savoir-faire
individuel de tout être humain depuis sa naissance. Sa complexité et ses mystères suscitent …