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Unlike traditional computing, Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning.

Computational intelligence. --- Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Intelligence, Computational --- Computer science. --- Optical pattern recognition. --- Systems engineering. --- Electronics. --- Computer engineering. --- Computational Science and Engineering. --- Pattern Recognition. --- Circuits and Systems. --- Electronics and Microelectronics, Instrumentation. --- Electrical Engineering. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Informatics --- Science --- Computers --- Electrical engineering --- Physical sciences --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Computer mathematics. --- Pattern recognition. --- Electronic circuits. --- Microelectronics. --- Electrical engineering. --- Electric engineering --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Computer mathematics --- Electronic data processing --- Mathematics

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This book presents new and advanced results and developments related to the Bees Algorithm, along with its application to a wide range of engineering problems. Modern complex processes and systems are difficult to optimise using conventional mathematical tools as they require models that often cannot be obtained with accuracy or certainty. Optimising such systems demands efficient, model-free optimisation tools. The Bees Algorithm, a swarm-based technique inspired by the foraging behaviour of honeybees, is an ideal tool for tackling challenging optimisation problems. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. While the covered applications belong to diverse engineering fields, this book’s focus is on advanced manufacturing and industrial engineering. The book comprises two parts. The first part explores different enhancements made to the original Bees Algorithm to improve its performance. The second part delves into the algorithm's applications in design, manufacturing, production, ergonomics, logistics, transportation, and electrical and electronic engineering. By showcasing the variety of optimisation tasks successfully handled using the Bees Algorithm, the book aims to inspire and motivate engineers and researchers worldwide to adopt the algorithm as a powerful and versatile tool for conquering complex engineering problems in the Industry 4.0 era and beyond.

Industrial engineering. --- Production engineering. --- Electric power production. --- Transportation engineering. --- Traffic engineering. --- Artificial intelligence. --- Computer science. --- Industrial and Production Engineering. --- Electrical Power Engineering. --- Transportation Technology and Traffic Engineering. --- Artificial Intelligence. --- Computer Science.

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Smart Inspection Systems - Techniques and Applications of Intelligent Vision will enable engineers to understand the various stages of automated visual inspection (AVI) and how artificial intelligence can be incorporated into each stage to create ""smart"" inspection systems. The book contains many examples that illustrate and explain the application of conventional and artificial intelligence techniques in AVI. The text covers the whole AVI process, from illumination, image enhancement, segmentation and feature extraction, through to classification, and includes case studies of implemented AV

Quality control --- Engineering inspection. --- Optical methods. --- Inspection, Engineering --- Optical inspection --- Optical quality control --- Engineering inspection --- Optical measurements

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Compréhension d'images - intelligence artificielle --- Traitement d'image - intelligence artificielle --- Vision artificielle - application --- Vision artificielle - technique

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I*PROMS 2005 is an online web-based conference. It provides a platform for presenting, discussing, and disseminating research results contributed by scientists and industrial practitioners active in the area of intelligent systems and soft computing techniques (such as fuzzy logic, neural networks, evolutionary algorithms, and knowledge-based systems) and their application in different areas of manufacturing. Comprised of 100 peer-reviewed articles, this important resource provides tools to help enterprises achieve goals critical to the future of manufacturing. I*PROMS is an European Union-funded network that involves 30 partner organizations and more than 130 researchers from universities, research organizations, and corporations. * State-of-the-art research results * Leading European researchers and industrial practitioners * Comprehensive collection of indexed and peer-reviewed articles in book format supported by a user-friendly full-text CD-ROM with search functionality.