Titlebook: Intelligent Autonomous Systems; Foundations and Appl Dilip Kumar Pratihar,Lakhmi C. Jain Book 2010 Springer-Verlag Berlin Heidelberg 2010 A

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REIGN

High Dimensional Neural Networks and Applications,works to emulate intelligent behavior. Extensive studies carried out during the past several years have revealed that neural networks enjoy numerous practical advantages over conventional methods. They are more fault-tolerant, less sensitive to noise and mostly used for their human-like characterist

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Design and Development of Intelligent Autonomous Robots, been studied through computer simulations. Thereafter, real experiments are conducted to test the effectiveness of the said approaches. A camera-based vision system has been used to collect information of the environment, while carrying out the real experiments.

尖酸一點

Book 2010hno- gies with pattern recognition and learning. The basic philosophy of IAS research is to explore and understand the nature of intelligence in problems of perception, reasoning, learning and control in order to develop and implement the theory to engineered realization. In other words, the objecti

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On Design and Development of an Intelligent Mobile Robotic Vehicle for Stair-Case Navigation, authors attempt to design a skid steer model incorporating the slip-friction for motion on plane surface and sensor-based navigation on stair-case and plane surface. It encompasses necessary controls including vision-assisted controller for stair-case detection and sonar data-based two layered fuzzy logic technique for obstacle avoidance.

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Ensemble Learning for Multi-source Information Fusion,iven models is introduced. Using that kind of ensembles, the advantages of both models are combined, i.e., robustness and physical transparency of the knowledge-based models and approximation abilities of the data-driven learning. The benefits of this approach are demonstrated for a real-world application.