A potentially important source of green growth in the future is the expansion of the weightless or dematerialised knowledge economy. Along with information and communication technology (ICT) and infrastructure, and the innovation system, human capital is a key pillar of this knowledge economy with its scope for increasing returns. With this in mind, the purpose of this paper is to investigate h...

A weightless neural state machine acting as an exploratory automaton changes its position in a simulated toy world by its own actions. A popular question is asked: how might the automaton ‘become conscious of’ the effect of its own actions? Here we develop previously defined iconic learning in such weightless machines so that this knowledge can be achieved. Weightlessness, iconic learning are e...

Efficient localisation is a highly desirable property for an autonomous navigation system. Weightless neural networks offer a real-time approach to robotics applications by reducing hardware and software requirements for pattern recognition techniques. Such networks offer the potential for objects, structures, routes and locations to be easily identified and maps constructed from fused limited ...

The objective of this paper is to analyze the practical viability of the results theoretical concerning the relationship of a class of weightless neural networks, known as General Single-layer Sequential Weightless Neural Networks (GSSWNNs), and Probabilistic Automata (PA). This study was based on the theoretical model development by de Souto [1]. This model shows the computational equivalence ...

Producing good quality clustering of data streams in real time is a difficult problem, since it is necessary to perform the analysis of data points arriving in a continuous style, with the support of quite limited computational resources. The incremental and evolving nature of the resulting clustering structures must reflect the dynamics of the target data stream. The WiSARD weightless perceptr...

Abstract Microparticles immersed in a low‐temperature plasma acquire strong negative charges and thus repel each other. Nevertheless, effective attraction between the microparticles such complex can occur due to interplay fluxes of ions microparticles. Here, we report observation droplets formed during parabolic flight, explain their formation terms ion drag force that sustains droplet. We have...

iv Acknowledgement v List of Figures vi List of Tables viii List of Publications ix Chapter 1 THESIS INTRODUCTION 10 1.0 Introduction 10 1.1 Aims and Objectives 12 1.2 Weightless Neural Networks 14 1.3 Organisation of the Research Projects in the Thesis 17 1.4 Major Challenges 23 1.5 Summary 24 Chapter 2 INTRODUCTION TO ARTIFICIAL NEURAL SYSTEMS 26 2.1 Weighted Neural Network 28 2.2 Weightless ...

By embedding the boolean space Z2 as an orthonormal basis in a vector space we can treat the RAM based neuron as a matrix (operator) acting on the vector space. We show how this model (inspired by our research on quantum neural networks) is of sufficient generality as to have classical weighted (perceptronlike), classical weightless (RAM-based, PLN, etc), quantum weighted and quantum weightless...

Weightless Artificial Neural Networks have proved to be a promising paradigm for classification tasks. This work introduces the WANN-Tagger, which makes use of weightless artificial neural networks for labelling Portuguese sentences, tagging each of its terms with its respective part-of-speech. A first experimental evaluation using the CETENFolha corpus indicates the usefulness of this paradigm...