Supervised Learning With Complex-valued Neural Networks

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in med

This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks

This book provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the authors emphasize mathematical analysis of networks, methods for training netw

This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques fo

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists in recent years. As these n

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many st

This book is aimed at the approximation of set-valued functions with compact sets in an Euclidean space as values. The interest in set-valued functions is rather new. Such functions arise in various m

This book provides a lens through which modern society is shown to depend on complex networks for its stability. One way to achieve this understanding is through the development of a new kind of scien

Complex Systems and Applied Linguistics introduces key concepts in complexity theory to readers concerned with language, its learning, and its use. The book demonstrates the applicability and usefulne

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents

The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.

This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. Th

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. T

This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems.

The book offers readers an understanding of the development of neural crest cells, which is crucial as many birth defects and tumours are of neural crest origin. The neural crest is a transient tissue

Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evid

Because networks not only help visualize highly interdependent data, but also allow stringent mathematical and statistical analysis, the approach is often being applied to the massive and complex data

In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering

The advancement of large scale integrated circuit technology has enabled the construction of complex interconnection networks. Graph theory provides a fundamental tool for designing and analyzing such

Business networks are an important economic phenomenon of increasing practical importance throughout Europe. This volume examines business networks from an interdisciplinary perspective, with many con

Jefferies develops the integration of vector valued functions with respect to vector valued measures, especially spectral measures, in view of applications in operator theory, scattering theory, an

This book is a comprehensive guide on neural stem cell behavior in health and disease. It will cover the altered behavior of endogenous neural stem cells in neurodegenerative conditions and the prospe

Neural Tube Defects are a group of related but individual pathologies that are the most common congenital anomalies of the Central Nervous System.The importance of this condition has generated a large

Sensor networks have many interesting applications with great utility; however, their actually deployment and realization rely on continuous innovations and solutions to many challenging problems. Thu

With 40% new material the new edition of Advanced Wireless Networks provides a comprehensive representation of the key issues in 4G wireless networks. Focussing on cognitive, cooperative and opportuni

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●The learning approach fits the way students are learning today. Instead of a history lesson on the microchip, the focus is on tasks students can accomplish with their computing devices and skills they can apply immediately in the workplace, the classroom, and at home. The content is complemented by hands-on technology, and weekly news feeds to enrich the student learning experience.●All the content is up to date: students stay engaged because the content focuses on the material they want to learn (e.g., how to integrate computing devices into a home network), while teaching the material they need to learn (e.g., how networks work).●The sequence of topics is set up to mirror the typical student learning experience, so that they progress through stages of increasing difficulty.●This progressive approach intentionally introduces topics on a basic level in the earlier chapters and then later expands on those concepts in more detail when students have become more comfortable with them.●The

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

DescriptionAmerican Learning Stars is a high level course for children learning English for the first time. The course includes a systematic phonics programme with reading and writing, with a separate

Flashcards can be used with American Little Learning Stars and American Learning Stars 1 and 2. DescriptionAmerican Little Learning Stars is the Starter level of American Learning Stars, a high-level