Adaptive resource management for flow-based IP/ATM hybrid switching systems
IEEE/ACM Transactions on Networking (TON)
An Algebraic Model for Generating and Adapting Neural Networks by Means of Optimization Methods
Annals of Mathematics and Artificial Intelligence
Real-Coded Genetic Algorithms Based on Mathematical Morphology
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Networking with Cognitive Packets
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Evolution of strategies for resource protection problems
Advances in evolutionary computing
An improved genetic algorithm adopting immigration operator
Intelligent Data Analysis
International Journal of Systems Science
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From the Publisher:Over the past decade, interest in computational or non-symbolicartificial intelligence has grown. The algorithms involved have the ability to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on the theory and applications of learning algorithms-stochastic learning automata; artificial neural networks; and genetic algorithms, evolutionary strategies, and evolutionary programming. Hybrid combinations of various algorithms are also discussed. Chapter 1 provides a brief overview of the topics discussed and organization of the text. The first half of the book (Chapters 2 through 4) discusses the basic theory of the learning algorithms, with one chapter devoted to each type. In the second half (Chapters 5 through 7), the emphasis is on a wide range of applications drawn from adaptive signal processing, system identification, and adaptive control problems in telecommunication networks. Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications is an excellent text for final year undergraduate and first year graduate students in engineering, computer science, and related areas. Professional engineers and everyone involved in the application of learning techniques in adaptive signal processing, control, and communications will find this text a valuable synthesis of theory and practical application of the most useful algorithms.