In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless. Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.

As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

FLINS -- an for fuzzy logic and intelligent acronym technologies in nuclear science -- is a well-established international research forum for advancing the theory and applications of computational intelligence for applied research in general and nuclear science and engineering in particular. The proceedings of FLINS 2002 covers state-of-the-art research and development in computational intelligence for applied research.

FLINS is an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science. FLINS 2002 is the fifth in a series of FLINS conferences and covers state-of-the-art research and development in computational intelligence for applied research in general and for nuclear science and engineering in particular. This book outlines the trends in computational intelligence in control, decision-making, and nuclear engineering, and presents the latest developments of computational intelligent systems in applied research and nuclear applications.

This book of Proceedings contains papers of the "Third European Workshop on Mobile/Personal Satcoms" (EMPS '98), held in Venice, Italy, November 1998. For the third time, EMPS has given to the experts an opportunity for exchanging opinions and novel ideas in the exciting field of mobile and personal satellite communications. As with the 1996 edition, EMPS '98 issued a formal call for papers, gathering a large number of contributions from many different countries. Each submitted paper has been reviewed by international referees and, finally, selected by the Workshop Steering Committee (WSC). Furthermore, key-topics in the field of mobile/personal satcoms have also been focused on through a few invited papers. As EMPS has been conceived to gather trends and novelties in the field of mobile/personal satcoms, it is tightly matched to the natural evolution of the field itself. In this frame, the reader will notice how the dominant topics are related to system and network issues, while a very little number of contributions have been provided in the propagation and channel related areas. This represents a natural trend of a field, where deep efforts have been paid in the past years to understanding and modelling the physical layer and where the present interest is mostly migrating to the applications. Further changes and novelties may be envisaged in the future of this field. I believe that EMPS will continue to represent an effective opportunity to catch and understand more deeply this evolution.