Competitive Learning

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 132 pages
Book Rating : 4.75/5 ( download)

DOWNLOAD NOW!

Download or read book Competitive Learning written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-21 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Competitive Learning In artificial neural networks, competitive learning is a type of unsupervised learning in which nodes fight for the right to respond to a subset of the input data. This type of learning is known as "competitive learning." Competitive learning is a form of learning that is similar to Hebbian learning. It operates by raising the level of specialization at each node in the network. It works quite well for discovering clusters hidden within data. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Competitive Learning Chapter 2: Self-organizing map Chapter 3: Perceptron Chapter 4: Unsupervised Learning Chapter 5: Hebbian Theory Chapter 6: Backpropagation Chapter 7: Multilayer Perceptron Chapter 8: Learning Rule Chapter 9: Feature Learning Chapter 10: Types of artificial neural networks (II) Answering the public top questions about competitive learning. (III) Real world examples for the usage of competitive learning in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of competitive learning. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

Author : Willie Pietersen
Publisher : John Wiley & Sons
ISBN 13 : 0470540699
Total Pages : 263 pages
Book Rating : 4.95/5 ( download)

DOWNLOAD NOW!

Download or read book Strategic Learning written by Willie Pietersen and published by John Wiley & Sons. This book was released on 2010-03-15 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to use Strategic Learning to rapidly respond to change and gain a sustainable advantage over your competitors What's even harder than creating a breakthrough strategy? Making it stick. As companies are fighting to survive in a tough economy, this new book by Willie Pietersen demonstrates the power of the Strategic Learning process, a four-step dynamic cycle guaranteed to create and sustain winning performance. Adopted by a wide range of corporations and not-for-profit organizations, the Strategic Learning process builds on eight years of practicing, adapting and honing the original concepts Pietersen first introduced in Reinventing Strategy to explain how organizations can generate superior insights about their customers and competitors, craft a Winning Proposition, focus on a vital few key priorities, create buy-in throughout the organization and achieve success – again and again. Teaches organizations to make smarter decisions that help them win customers and earn superior profits Explains how to instill a culture of openness, learning, and courage that can face and respond to the constantly changing business environment Is a tool that can benefit leaders at all levels, in organizations both large and small, global and domestic, for-profit and not-for-profit Author Willie Pietersen, a former president of Tropicana and Seagram USA, is a professor of management at Columbia Business School, and the author of Reinventing Strategy, from Wiley Strategic Learning shows you how your business or nonprofit organization can develop better, more effective strategies for long-term competitive advantage.

Author : Liam Fahey
Publisher : John Wiley & Sons
ISBN 13 : 9780471303527
Total Pages : 478 pages
Book Rating : 4.26/5 ( download)

DOWNLOAD NOW!

Download or read book Learning from the Future written by Liam Fahey and published by John Wiley & Sons. This book was released on 1997-11-10 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unter Szenarioplanung versteht man eine spezielle Methode der Vorhersage zukünftiger politischer, ökonomischer und demographischer Entwicklungen, die das Funktionieren eines Unternehmens beeinflussen können. Diese Technik wird hier von renommierten Vorreitern auf diesem Gebiet ausführlich beleuchtet - so lernt der Manager, verschiedene Implikationen plausibler Ereignisse und Einflüsse systematisch zu durchdenken. (11/97)

Author : Lawrence R. Frey
Publisher : SAGE
ISBN 13 : 9780761910275
Total Pages : 618 pages
Book Rating : 4.71/5 ( download)

DOWNLOAD NOW!

Download or read book The Handbook of Group Communication Theory and Research written by Lawrence R. Frey and published by SAGE. This book was released on 1999-07-08 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Documents and synthesizes work done in group communication scholarship's 50-year history, presenting an overview of group communication study from its beginnings in pedagogy to its status as a mature discipline with a variety of theoretical positions and methodological practices. Material is divided

Author : Antti Laaksonen
Publisher : Springer
ISBN 13 : 3319725475
Total Pages : 283 pages
Book Rating : 4.75/5 ( download)

DOWNLOAD NOW!

Download or read book Guide to Competitive Programming written by Antti Laaksonen and published by Springer. This book was released on 2018-01-02 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.

Author : Kelvin K. L. Wong
Publisher : John Wiley & Sons
ISBN 13 : 139421748X
Total Pages : 436 pages
Book Rating : 4.89/5 ( download)

DOWNLOAD NOW!

Download or read book Cybernetical Intelligence written by Kelvin K. L. Wong and published by John Wiley & Sons. This book was released on 2023-10-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highly comprehensive, detailed, and up-to-date overview of artificial intelligence and cybernetics, with practical examples and supplementary learning resources Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence is a comprehensive guide to the field of cybernetics and neural networks, , as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks, and their applications to different real-world problems. This groundbreaking book presents a pioneering exploration of machine learning within the framework of cybernetics. It marks a significant milestone in the field's history, as it is the first book to describe the development of machine learning from a cybernetics perspective. The introduction of the concept of "Cybernetical Intelligence" and the generation of new terminology within this context propel new lines of thought in the historical development of artificial intelligence. With its profound implications and contributions, this book holds immense importance and is poised to become a definitive resource for scholars and researchers in this field of study. Each chapter is specifically designed to introduce the theory with several examples. This comprehensive book includes exercise questions at the end of each chapter, providing readers with valuable opportunities to apply and strengthen their understanding of cybernetical intelligence. To further support the learning journey, solutions to these questions are readily accessible on our book's companion site. Additionally, the companion site offers programming practice exercises and assignments, enabling readers to delve deeper into the practical aspects of the subject matter. Cybernetical Intelligence includes information on: History and development of cybernetics and its influence on the development of neural networks Developments and innovations in artificial intelligence and machine learning, such as deep reinforcement learning, generative adversarial networks, and transfer learning Mathematical foundations of artificial intelligence and cybernetics, including linear algebra, calculus, and probability theory Ethical implications of artificial intelligence and cybernetics, and responsible and transparent development and deployment of AI systems Presenting a highly detailed and comprehensive overview of the field, with modern developments thoroughly discussed, Cybernetical Intelligence is an essential textbook resource that helps students make connections with the real-life engineering problems by providing both theory and practice, along with a myriad of helpful learning aids.

Author : Jason Wingard
Publisher : AMACOM
ISBN 13 : 0814433642
Total Pages : 274 pages
Book Rating : 4.45/5 ( download)

DOWNLOAD NOW!

Download or read book Learning for Life written by Jason Wingard and published by AMACOM. This book was released on 2015-09-16 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s global knowledge economy requires individuals and companies alike to quickly adapt to new tools and strategies. To remain competitive, both must continually seek out the latest advancements and developments, and upgrade their skillsets accordingly. In the United States, however, support for ongoing education lags far behind other developed nations, creating a crippling skills gap between the workforce and industries in the US and its global competitors.In a country that has been multiple steps ahead of everyone else since its birth, how did this happen? Why are other countries, previously inferior when it came to technological advancements, suddenly faring markedly better? What keeps our nation’s vast network of corporate training, workforce development, and K-12 and college education so fragmented and inefficient? In the tells-it-like-it-is Learning for Life, readers will learn about:• Why America’s existing educational models are failing employees and employers• The shift in content knowledge toward new ways of thinking and working• Policies and programs that are working in the US and abroad• Recommendations for overhauling our education and training infrastructure and building partnerships between providers and employersThe stakes are too important for America to continue falling behind in its education. But the good news is, the pathways to get us back to the top are there ahead of us. Learning for Life points the way forward.

Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9814492396
Total Pages : 276 pages
Book Rating : 4.93/5 ( download)

DOWNLOAD NOW!

Download or read book Neuro-fuzzy Pattern Recognition written by Horst Bunke and published by World Scientific. This book was released on 2000-12-22 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.

Author : Giuseppe Ciaburro
Publisher : Packt Publishing Ltd
ISBN 13 : 1788399412
Total Pages : 270 pages
Book Rating : 4.18/5 ( download)

DOWNLOAD NOW!

Download or read book Neural Networks with R written by Giuseppe Ciaburro and published by Packt Publishing Ltd. This book was released on 2017-09-27 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the power of neural network models Who This Book Is For This book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need! What You Will Learn Set up R packages for neural networks and deep learning Understand the core concepts of artificial neural networks Understand neurons, perceptrons, bias, weights, and activation functions Implement supervised and unsupervised machine learning in R for neural networks Predict and classify data automatically using neural networks Evaluate and fine-tune the models you build. In Detail Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases. By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book. Style and approach A step-by-step guide filled with real-world practical examples.

Author : Rui Xu
Publisher : John Wiley & Sons
ISBN 13 : 0470382783
Total Pages : 400 pages
Book Rating : 4.83/5 ( download)

DOWNLOAD NOW!

Download or read book Clustering written by Rui Xu and published by John Wiley & Sons. This book was released on 2008-11-03 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.