DRASiW is an extension of the WiSARD weightless neural model that provides the ability of producing examples/prototypes, called “mental images”, from learnt categories. This work introduces a novel way of performing rule extraction by applying the WiSARD/DRASiW RAMbased neural model upon a well-known machine learning benchmark. A functional exploration is offered in order to demonstrate how the...

INTRODUCTION Very little is known about prenatal growth and development of trabecular micro-architecture [1-4]. Yet the quantity and quality of fetal bone laid down in early life is thought to have a significant impact on adult bone quality and senescent bone disease [5]. Understanding the mechanisms determining fetal bone growth may give insights into those factors determining bone quality in ...

Training artificial neural networks requires a tedious empirical evaluation to determine a suitable neural network architecture. To avoid this empirical process several techniques have been proposed to automatise the architecture selection process. In this paper, we propose a method to perform parameter and architecture selection for a quantum weightless neural network (qWNN). The architecture ...

The paper analyses how the area of production and operations management (POM) in Brazil should change/adapt in order to remain relevant in the so called “new economy”. Drawing from insights coming from both the relevant literature and a survey, a preliminary research and teaching agenda is proposed.

This article focuses on the spatial clustering dimension of new information and communications technology (ICT)-driven economic activity based on knowledge industries and especially the tacit knowledge synergies to be achieved through networking in geographical space. The article first details the new knowledge economy, reviewing claims made for its distinctiveness and its role in raising level...

Virtual Generalizing Random Access Memory Weightless Neural Networks (Vg-ram wnn) are effective machine learning tools that offer simple implementation and fast training and test. We examined the performance of Vg-ram wnn on face recognition using a well known face database—the AR Face Database. We evaluated two Vgram wnn architectures configured with different numbers of neurons and synapses p...

Weightless neural networks constitute a still not fully explored Machine Learning paradigm, even if its first model, WiSARD, is considered. Bleaching, an improvement on WiSARD’s learning mechanism was recently proposed in order to avoid overtraining. Although presenting very good results in different application domains, the original sequential bleaching and its confidence modulation mechanisms...