The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm. This discussion is supported by a rigorous mathematical approach where necessary. C++ has emerged as a rich and descriptive means by which concepts, models, or algorithms can be precisely described. For many of the neural network models discussed, C++ programs are presented for the actual implementation. Pictorial diagrams and in-depth discussions explain each topic. Necessary derivative steps for the mathematical models are included so that readers can incorporate new ideas into their programs as the field advances with new developments. For each approach, the authors clearly state the known theoretical results, the known tendencies of the approach, and their recommendations for getting the best results from the method. The material covered in the book is accessible to working engineers with little or no explicit background in neural networks. However, the material is presented in sufficient depth so that those with prior knowledge will find this book beneficial. Pattern Recognition with Neural Networks in C++ is also suitable for courses in neural networks at an advanced undergraduate or graduate level. This book is valuable for academic as well as practical research.
Methods for determining, isolating and identifying human milk lipids, together with problems associated with sampling and analysis, are described in some detail in the first 3 chapters of this book. Factors affecting total lipid content of human milk, lipid classification, fatty acids, the milk fat globule membrane, fat-soluble vitamins and nutritional aspects of human milk lipids are also extensively reviewed in Chapters 4-9.
Trivia Why's will make you trivia wise with these great features: 1) Over 2,000 questions with multiple-choice answers are each accompanied by a related factoid. Why is this answer correct (and not that one)? Why else is this person famous (or infamous)? Why was this event historically significant? 2) By cycling through six standard genus categories, this book makes an excellent supplement to your favorite trivia board game while providing a healthy variety of topics for your reading pleasure. Answers are hidden from view while the questions are being read and appear in the same block on the same side of the book two pages later. 3) Every question and answer has been carefully researched for accuracy and recently updated to include the latest available data. Since trivia is a moving target, however, updates and corrections will be posted to the triviawhys.com web site.
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