L. C. Jain – författare

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now.Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks.Features

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now.Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now.Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now.Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful.

The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.

This series, running into four volumes, presents biographies of indigenous writers of India, covering all genres of literature. It offers not only personal data and list of publications of individual writers, but also a window into their culture and the various ways that each of them has used literature to preserve and promote their own languages and community identities. Volume one puts together biographies of 105 tribal writers of all the eight states of North-East India Assam, Meghalaya, Manipur, Arunachal Pradesh, Tripura, Nagaland, Mizoram and Sikkim. They represent more than 15 tribal languages such as Adi, Apatani, Boro, Garo, Karbi, Rabha, Santali, Tiwa, Paite, Tangkhul, Khasi, Mizo, Tenydie, Kokborok, Lepcha and Nepali. The other three volumes, covering Eastern India (West Bengal, Orissa, Jharkhand and Bihar), South India (Andhra Pradesh, Karnataka, Kerala and Tamil Nadu), and Western and Central India (Gujarat, Rajasthan, Maharashtra, Goa, Jammu and Kashmir, Madhya Pradesh and Chattisgarh) are also in the pipeline.

Providing essential information regarding the preparation of written products and intelligence briefings, this book is divided into two parts. Part I, “Writing with Intelligence,” addresses reading intelligence publications and the basics of writing in the intelligence profession. Part II, “Briefing with Intelligence,” deals with the fundamental principles of an intelligence briefing and includes information on gaining—or regaining—self-confidence behind the podium. Every chapter ends with exercises, many of which can be completed in the classroom to facilitate group activity. Five appendixes provide additional information for quick reference, and an annotated bibliography provides further sources. This book is useful for faculty and students pursuing studies in intelligence, national security homeland security, or homeland defence, but it also has considerable value for intelligence professionals who want to hone their writing or briefing skills.

This book on hybrid intelligent engineering systems is unique, in the sense that it presents the integration of expert systems, neural networks, fuzzy systems, genetic algorithms, and chaos engineering. It shows that these new techniques enhance the capabilities of one another. A number of hybrid systems for solving engineering problems are presented.

This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable neural network architecture for a given problem. The process of trial and error is not only time-consuming but may not generate an optimal network. The use of evolutionary computation is a step towards automation in neural network architecture generation.An overview of the field of evolutionary computation is presented, together with the biological background from which the field was inspired. The most commonly used approaches to a mathematical foundation of the field of genetic algorithms are given, as well as an overview of the hybridization between evolutionary computation and neural networks. Experiments on the implementation of automatic neural network generation using genetic programming and one using genetic algorithms are described, and the efficacy of genetic algorithms as a learning algorithm for a feedforward neural network is also investigated.

There is a trend to offer courses by virtual means. This approach has definite advantages. For example, virtual programs target professionals who would otherwise have to leave their jobs to pursue the degree. An enormous proportion of universities are in the process of developing courses in a virtual environment.This book deals with virtual environments for teaching and learning. The chapters can be considered to be representative of the many approaches taken and the diversity of applications. The different perspectives and different solutions adopted are the result of intense research in various countries in the area of e-learning.

Modern defence forces rely mainly on intelligent information systems and high technology armour. This volume reflects the latest trends in military information systems research by bringing together international contributions that span from communications technology, through intelligent agents and large-scale modeling and simulation, to sociotechnical systems. Together, the articles represent a good cross section of contemporary information systems research.The book also shows the wealth of research on advanced information systems and on technologies developed for defence purposes. Some of the chapters may serve as a component of advanced defence training programs. They provide an important overview of crucial research, which has evolved over the last ten years.

The Internet/WWW has made it possible to easily access quantities of information never available before. However, both the amount of information and the variation in quality pose obstacles to the efficient use of the medium. Artificial intelligence techniques can be useful tools in this context. Intelligent systems can be applied to searching the Internet and data-mining, interpreting Internet-derived material, the human–Web interface, remote condition monitoring and many other areas.This volume presents the latest research on the interaction between intelligent systems (neural networks, adaptive and connectionist paradigms, fuzzy and rule-based systems, intelligent agents) and the Internet/WWW. It surveys both the employment of intelligent systems to facilitate and enhance the use of the Internet, and applications where the Internet is a channel through which intelligent techniques are applied.