… Two such paradigms are neurocomputing and parallel processing. We will show how
computationally elegant algorithms based on inte gration of a novel connectionist computing model…

… The CI family consists of granular computing, neuro-computing (NC), evolutionary computing
and artificial life [6]. This study examines the feasibility of utilizing DM methods based on …

… This paper presents an overall insight and the hidden structure of the journal of neurocomputing
(NC) through an extensive bibliometric study on the publications and citations history …

The main goal of the paper is to show great potential of Artificial Neural Networks (ANNs) as
a new tool in the identification analysis of various problems in mechanics of structures and …

In the era of big data, analyzing and extracting knowledge from large-scale data sets is a
very interesting and challenging task. The application of standard data mining tools in such …

… In this paper, we presented a neuro-computing approach to the problem of admission control
in ATM networks. In particular we used NN’s to compute the effective bandwidth required to …

… the performance of a parallel neurocomputer, the Brain-Style Processor or BSP400. This
project presents a feasibility study for larger parallel neurocomputers. The design principles are …

There exist problems in fuzzy finite element methods because technique of solving fuzzy
equations is not perfect. For example, computation amount is too big and both sides of the …

… A neurocomputer, a highly neural networks of non - linear analog neurons, is introduced
to classify the pixels. The effectiveness of neurocomputer involves both nonlinear analog …

… Here we review principles developed within a neurocomputational framework of BG and
related circuitry which provide insights into their functional roles in behavior. We focus on two …