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Wavelets in Soft Computing
This book presents the state of integration of wavelet theory and multiresolution analysis into soft computing. It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms. Much attention is given to new approaches (fuzzy-wavelet) that permit one to develop, using wavelet techniques, linguistically interpretable fuzzy systems from data. The book also introduces the reader to wavelet-based genetic algorithms and multiresolution search. A special place is given to methods that have been implemented in real world applications, particularly the different techniques combining fuzzy logic or neural networks with wavelet theory.
Advances in Computational Intelligence and Learning
Advances in Computational Intelligence and Learning: Methods and Applications presents new developments and applications in the area of Computational Intelligence, which essentially describes methods and approaches that mimic biologically intelligent behavior in order to solve problems that have been difficult to solve by classical mathematics. Generally Fuzzy Technology, Artificial Neural Nets and Evolutionary Computing are considered to be such approaches. The Editors have assembled new contributions in the areas of fuzzy sets, neural sets and machine learning, as well as combinations of them (so called hybrid methods) in the first part of the book. The second part of the book is dedicated to applications in the areas that are considered to be most relevant to Computational Intelligence.
Evolutionary Biology
Since 1997, scientists of different disciplines sharing a deep interest in concepts and knowledge related to evolutionary biology have held the annual Evolutionary Biology Meetings in Marseille in order to discuss their research and promote collaboration. Lately scientists especially focusing on applications have also joined the group. This book starts with the report of the "12th Evolutionary Biology Meeting", which gives a general idea of the meeting’s epistemological stance. This is followed by 22 chapters, a selection of the most representative contributions, which are grouped under the following four themes: Part I Concepts and Knowledge - Part II Modelization - Part III Applied Evolutionary Biology - Part IV Applications in Other Fields -Part IV transcends the field of biology, presenting applications of evolutionary biology in economics and astronomy.
Wavelets In Soft Computing (Second Edition)
The comprehensive compendium furnishes a quick and efficient entry point to many multiresolution techniques and facilitates the transition from an idea into a real project. It focuses on methods combining several soft computing techniques (fuzzy logic, neural networks, genetic algorithms) in a multiresolution framework.Illustrated with numerous vivid examples, this useful volume gives the reader the necessary theoretical background to decide which methods suit his/her needs.New materials and applications for multiresolution analysis are added, including notable research topics such as deep learning, graphs, and network analysis.
Mathematical Methods for Wave Phenomena
Computer Science and Applied Mathematics: Mathematical Methods for Wave Phenomena focuses on the methods of applied mathematics, including equations, wave fronts, boundary value problems, and scattering problems. The publication initially ponders on first-order partial differential equations, Dirac delta function, Fourier transforms, asymptotics, and second-order partial differential equations. Discussions focus on prototype second-order equations, asymptotic expansions, asymptotic expansions of Fourier integrals with monotonic phase, method of stationary phase, propagation of wave fronts, and variable index of refraction. The text then examines wave equation in one space dimension, as well ...
Pierre-Daniel Huet (1630–1721) and the Skeptics of his Time
This book offers a detailed and scholarly historical and philosophical examination of French scepticism from Descartes to the beginning of the Enlightenment by examining the views of Pierre-Daniel Huet (1630–1721). It shows the crucial role played by Huet in the modification of the early modern sceptical tradition: from a practical perspective closer to ancient scepticism, mostly presented by Montaigne and Charron, to an epistemological and metaphysical perspective strongly influenced by Descartes’s doubt. The book examines and gives original interpretations of the various sceptical (and semi-sceptical) views held in the period and their connections to Huet’s own scepticism. Besides known philosophers such as Descartes, Gassendi, Pascal and Bayle, the book also accesses sceptical views held by secondary figures such as La Mothe Le Vayer and Simon Foucher and others who have not thus far been connected to the sceptical tradition such as Jean-Baptiste du Hamel and Madeleine de Scudéry. The book is useful for scholars in the field of early modern ideas: philosophical, religious and scientific.
