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Edition: 1
Release: 1998-07-02
Publisher: Addison-Wesley Professional
Binding: Paperback
ISBN/ASIN: 0201432935



Pattern Hatching: Design Patterns Applied

Software developers now recognize the value of design patterns in helping build better software more efficiently. Free download Pattern Hatching books collection in PDF, EPUB, FB2, MOBI, and TXT formats. As a result, design patterns have become extremely popular in the software development community. Pattern Hatching explains and enhances the information from the seminal work in the field, Design Patterns: Elements of Reusable Object-Oriented Software. The hands-on approach offered by John Vlissides, co-author of Design Patterns, enables you to better understand the pattern development process, and therefore identify and write your own patterns. The author's insights will further allow you to apply the original 23 patterns by example. Best deals ebooks download Pattern Hatching on amazon.uthor John Vlissides is a member of the so-called Gang of Four: writers of the bestselling and influential Design Patterns: Elements of Reusable Object-Oriented Software, a catalog of 23 design patterns. This more recent book delivers considerable insight on using and applying software design patterns--reusable designs for common programming problems--and compiles the author's further experience with patterns. Pattern Hatching first defends the patterns movement by offering 10 myths about patterns, which provide a framework for thinking about the role of patterns in today's software. (While not a silver bullet, the author argues for the continued importance of patterns throughout software engineering.) The next section shows how to apply several patterns (drawn from the original 23) in a file system; the author uses and describes common patterns such as the Composite, Visitor, Proxy, and Singleton. To help illustrate how to use patterns and how they work together, the author also provides C++ source code for the designs in the book. Part of the fun of reading Pattern Hatching is getting the author's insight on the origin of thinking about patterns, including several patterns that were actually left out of the original book, such as the Generation Gap pattern and the Multicast pattern. For readers who are familiar with Design Patterns, Pattern Hatching is a lively behind-the-scenes look at one of the most important recent developments in software design. --Richard Dragan Pattern Hatching: Design Patterns Applied with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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Neural Networks for Pattern Recognition

Edition: 1
Release: 1996-01-18
Publisher: Oxford University Press, USA
Binding: Paperback
ISBN/ASIN: 0198538642



Neural Networks for Pattern Recognition

This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. Free download Neural Networks for Pattern Recognition books collection in PDF, EPUB, FB2, MOBI, and TXT formats. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100 exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.This book provides a solid statistical foundation for neural networks from a pattern recognition perspective. Best deals ebooks download Neural Networks for Pattern Recognition on amazon.The focus is on the types of neural nets that are most widely used in practical applications, such as the multi-layer perceptron and radial basis function networks. Rather than trying to cover many different types of neural networks, Bishop thoroughly covers topics such as density estimation, error functions, parameter optimization algorithms, data pre-processing, and Bayesian methods. All topics are organized well and all mathematical foundations are explained before being applied to neural networks. The text is suitable for a graduate or advanced undergraduate level course on neural networks or for practitioners interested in applying neural networks to real-world problems. The reader is assumed to have the level of math knowledge necessary for an undergraduate science degree. Neural Networks for Pattern Recognition with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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