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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers d...
Soft Computing for Recognition Based on Biometrics
This book describes bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other sources. Each section groups papers on a similar subject.
Water Lessons
"Beneath the obvious beauty of Lisa Dordal's poetry lies a subtle ferocity that threatens to undo the reader on every page of WATER LESSONS. 'Anyone can become / animal or a flicker of light' warns the speaker as she embarks on a journey of recovery: of the memories surrounding a mother's addiction and death; of a father's dementia, which softens him even as it steals him away; and of the speaker's own complicity in mid-century suburban oblivion, a complicity that makes both a mother's and a Black maid's miseries equally tragic. Dordal demands that we not only see the past, but that we step into its deceptively gentle tide, one that sweeps us back to the people, places, and eras that still h...
Advances in Artificial Intelligence
The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous submissions. The first volume includes 50 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: automated reasoning and multi-agent systems; problem solving and machine learning; natural language processing; robotics, planning and scheduling; and medical applications of artificial intelligence.
Advances in Soft Computing
The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second volume contains 46 papers focusing on soft computing. The papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.
Soft Computing Applications in Optimization, Control, and Recognition
Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.
Restructuring Public Transport Through Bus Rapid Transit
Bus Rapid Transit (BRT) is increasingly being discussed as an affordable way for cities to build sustainable rapid transit infrastructure. This is the first book to examine the opportunities presented by BRT along with the significant challenges cities face in the implementation of successful systems. The difficulties can be myriad: new institutional relationships have to be developed among governments, operators, and the public; projects have to be designed and implemented to handle large passenger flows in the most efficient manner possible; and these changes are not taking place on a blank slate, but within existing transportation systems, political and cultural contexts, and urban development patterns. Addressing these challenges from an international perspective and across a range of disciplines, from urban planning to public policy and economics, contributors offer technical solutions to specific problems and identify what still needs to be done to realize their vision of global sustainable transport.
