Genetic Algorithms for Pattern Recognition
Genetic Algorithms for Pattern Recognition
Editorial Reviews
Book Description
Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern recognition and machine learning problems to build intelligent recognition systems. The articles, written by leading experts from around the world, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light of genetic algorithms; and they illustrate applications in artificial neural networks and fuzzy logic. The cross-sectional view of current research presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.
Genetic Algorithms for Pattern Recognition,Sankar K. Pal,Paul P. Wang,CRC,0849394678,Applied,Computers,Data Processing - General,Data Processing - Optical Data Processing,Genetic Algorithms,Life Sciences - Genetics & Genomics,Machine learning,Pattern Recognition,Pattern perception,Science,Science/Mathematics,Computers / Computer Graphics / General,Mathematical theory of computation,Neural networks
Books Review:
- Global Optimization in Action : Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications (Nonconvex Optimization and Its Applications)
- Groups : A Path to Geometry
- Handbook of Nonlinear Partial Differential Equations
- High-Resolution Methods for Incompressible and Low-Speed Flows (Computational Fluid and Solid Mechanics)
- Integer Flows and Cycle Covers of Graphs (Pure and Applied Mathematics (Marcel Dekker))
- Introduction to Matrix Analytic Methods in Stochastic Modeling (Asa-Siam Series on Statistics and Applied Probability)
- Introduction to Numerical Analysis (Texts in Applied Mathematics, No 12)
- Latent Variable Models and Factor Analysis (Kendall's Library of Statistics)
- Liapunov Functions and Stability in Control Theory (Communications and Control Engineering)
- Markov Processes for Stochastic Modeling
Books Review
Recommended Books
- Africa's Big Five
- Stylefile: Best of Issue 01-10, Trains, Walls, Styles, Interviews, 09.05 : From Prototype to Silver
- 2004 Original Pronouncements: Accounting Standards Original Pronouncements
- A General Theory of Competition : Resources, Competences, Productivity, Economic Growth
- Bankers in the Selling Role : A Consultative Guide to Cross-Selling Financial Services
- Clarissa and the Countryman Sally Forth
- Biochemistry of Smooth Muscle Contraction
- Automorphisms of Surfaces after Nielsen and Thurston
- Bored of the Rings: A Parody of J.R.R. Tolkien's the Lord of the Rings
- Babel-17/Empire Star
- Choices for a Healthy Heart
- Bride's Little Book of Bouquets And Flowers
- Daddy's Bad Hair Day
- China Candid : The People on the People's Republic
- Animal Structure and Function