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In many cases, the end of the year gives you time to step back and take stock of the last 12 months. This is when many of us take a hard look at what worked and what did not, complete performance reviews, and formulate plans for the coming year. For me, it is all of those things plus a time when I u...
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A 2nd Edition Introduction to Computational Intelligence Focusing on the Attempt to Develop Naturally Inspired Artificially Intelligent Systems
A 2nd Edition Introduction to Computational Intelligence Focusing on the Attempt to Develop Naturally Inspired Artificially Inte

Research and Markets (http://www.researchandmarkets.com/research/d364f1/computational_inte) has announced the addition of the "Computational Intelligence: An Introduction, 2nd Edition" report to their offering.

The main focus of the book is on computational modelling of biological and natural intelligent systems in order to develop nature inspired artificially intelligent systems. These algorithmic models have as their main objective to facilitate the implementation of artificial intelligent systems for solving complex real-world systems (e.g. fuzzy systems are applied successfully to control systems, gear transmission, breaking systems; swarm intelligence to image classification).

This second edition expands on all these paradigms, providing a more detailed and equal treatment of them all. Most recent advances in CI have been added, namely artificial immune systems, hybrid systems, and a section on how to perform empirical studies.

Authors Bio:

Andries P. Engelbrecht is a full professor in Computer Science at the University of Pretoria, South Africa. He holds a PhD (Computer Science) from the University of Stellenbosch (1999) and has been actively involved in the research of computational intelligence since 1992. His group performs research in artificial neural networks, swarm intelligence, evolutionary computation, artificial immune systems, data and text mining, image analysis and multi-agent systems. The research done is both theoretical where the objective is to develop new algorithms or to improve existing algorithms, and also application oriented, making use of techniques from computational intelligence to solve real-world problems. Professor Engelbrecht is actively involved in consultation to industry and contract research for industry.

Key Topics Covered:

- Artificial Neural Networks
- Evolutionary Computation
- Computational Swarm Intelligence
- Artificial Immune Systems
- Fuzzy Systems
- List of Tables
- List of Figures
- List of Algorithms

For more information visit http://www.researchandmarkets.com/research/d364f1/computational_inte

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