{"product_id":"neural-and-adaptive-systems-isbn-9780471351672","title":"Neural and Adaptive Systems","description":"Like no other text in this field, authors Jose C. Principe, Neil R. Euliano, and W. Curt Lefebvre have written a unique and innovative text unifying the concepts of neural networks and adaptive filters into a common framework.\u003cbr\u003e \u003cbr\u003e   \u003cp\u003eThe text is suitable for senior\/graduate courses in neural networks and adaptive filters. It offers over 200 fully functional simulations (with instructions) to demonstrate and reinforce key concepts and help the reader develop an intuition about the behavior of adaptive systems with real data. This creates a powerful self-learning environment highly suitable for the professional audience.\u003c\/p\u003eEin einzigartiger und innovativer Ansatz zur Vermittlung von Kenntnissen über adaptive und neuronale Netze! Der Leser experimentiert mit realen Datensätzen und lernt so, das Verhalten der Netzwerke intuitiv einzuschätzen. Als interaktives Lehr- und Lernmittel bietet das Buch über 200 voll funktionsfähige Simulationen mit ausführlichen Arbeitsanleitungen - ideal auch zum Selbststudium! Die elektronische Version des Buches enthält neben dem vollständigen Text interessante Extras. (01\/00) \u003cp\u003eChapter 1 Data Fitting with Linear Models 1\u003cbr\u003e \u003cbr\u003e Chapter 2 Pattern Recognition 68\u003cbr\u003e \u003cbr\u003e Chapter 3 Multilayer Perceptrons 100\u003cbr\u003e \u003cbr\u003e Chapter 4 Designing and Training MLPS 173\u003cbr\u003e \u003cbr\u003e Chapter 5 Function Approximation with MLPs, Radial Basis Functions, and Support Vector Machines 223\u003cbr\u003e \u003cbr\u003e Chapter 6 Hebbian Learning and Principal Component Analysis 279\u003cbr\u003e \u003cbr\u003e Chapter 7 Competitive and Kohonen Networks 333\u003cbr\u003e \u003cbr\u003e Chapter 8 Principles of Digital Signal Processing 364\u003cbr\u003e \u003cbr\u003e Chapter 9 Adaptive Filters 429\u003cbr\u003e \u003cbr\u003e Chapter 10 Temporal Processing with Neural Networks 473\u003cbr\u003e \u003cbr\u003e Chapter 11 Training and Using Recurrent Networks 525\u003c\/p\u003e \u003cp\u003eAppendix A Elements of Linear Algebra and Pattern Recognition 589\u003c\/p\u003e \u003cp\u003eAppendix B NeuroSolutions Tutorial 613\u003c\/p\u003e \u003cp\u003eAppendix C Data Directory 637\u003cbr\u003e \u003cbr\u003e Glossary 639\u003cbr\u003e \u003cbr\u003e Index 647\u003c\/p\u003e \u003cb\u003eJose C. Principe\u003c\/b\u003e, University of Florida. \u003cp\u003e\u003cb\u003eNeil R. Euliano\u003c\/b\u003e, NeuroDimension, Inc.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eW. Curt Lefebvre\u003c\/b\u003e, NeuroDimension, Inc.\u003c\/p\u003e \u003cp\u003eDevelop New Insight into the Behavior of Adaptive Systems This one-of-a-kind interactive book and CD-ROM will help you develop a better understanding of the behavior of adaptive systems. Developed as part of a project aimed at innovating the teaching of adaptive systems in science and engineering, it unifies the concepts of neural networks and adaptive filters into a common framework. It begins by explaining the fundamentals of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time-series modeling\/prediction. The text is integrated with the industry standard neural network\/adaptive system simulator NeuroSolutions. This allows the authors to demonstrate and reinforce key concepts using over 200 interactive examples. Each of these examples is 'live,' allowing the user to change parameters and experiment first-hand with real-world adaptive systems. This creates a powerful environment for learning through both visualization and experimentation. Key Features of the Text\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe text and CD combine to become an interactive learning tool.\u003c\/li\u003e \u003cli\u003eEmphasis is on understanding the behavior of adaptive systems rather than mathematical derivations.\u003c\/li\u003e \u003cli\u003eEach key concept is followed by an interactive example.\u003c\/li\u003e \u003cli\u003eOver 200 fully functional simulations of adaptive systems are included.\u003c\/li\u003e \u003cli\u003eThe text and CD offer a unified view of neural networks, adaptive filters, pattern recognition, and support vector machines.\u003c\/li\u003e \u003cli\u003eHyperlinks allow instant access to keyword definitions, bibliographic references, equations, and advanced discussions of concepts.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe CD-ROM Contains:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA complete, electronic version of the text in hypertext format\u003c\/li\u003e \u003cli\u003eNeuroSolutions, an industry standard, icon-based neural network\/adaptive system simulator\u003c\/li\u003e \u003cli\u003eA tutorial on how to use NeuroSolutions\u003c\/li\u003e \u003cli\u003eAdditional data files to use with the simulator\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\"An innovative approach to describing neurocomputing and adaptive learning systems from a perspective which unifies classical linear adaptive systems approaches with the modern advances in neural networks. It is rich in examples and practical insight.\"\u003cbr\u003e—\u003cb\u003eJames Zeidler\u003c\/b\u003e, University of California, San Diego\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989682241765,"sku":"NP9780471351672","price":115.5,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471351672.jpg?v=1761785086","url":"https:\/\/k12savings.com\/es\/products\/neural-and-adaptive-systems-isbn-9780471351672","provider":"K12savings","version":"1.0","type":"link"}