Exploring Neural Networks with C#

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# presents the important properties of neural networks while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy to understand.Taking a "learn by doing" approach, the book is filled with illustrations to guide you through the mystery of neural networks. Examples of experiments are provided in the text to encourage individual research. Online access to C# programs is also provided to help you discover the properties of neural networks.Following the procedures and using the programs included with the book will allow you to learn how to work with neural networks and evaluate your progress. You can download the programs as both executable applications and C# source code from http://home.agh.edu.pl/~tad//index.php?page=programyandlang=en

Computers & Technology

Chaki, Nabendu

Tadeusiewicz, Ryszard

Chaki, Rituparna

Computer Science

CRC-Press

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations―making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical. Exploring Neural Networks with C# presents the important properties of neural networks―while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy to understand. Taking a "learn by doing" approach, the book is filled with illustrations to guide you through the mystery of neural networks. Examples of experiments are provided in the text to encourage individual research. Online access to C# programs is also provided to help you discover the properties of neural networks. Following the procedures and using the programs included with the book will allow you to learn how to work with neural networks and evaluate your progress. You can download the programs as both executable applications and C# source code from http://home.agh.edu.pl/~tad//index.php?page=programy&amp;lang=en

The Internet and other technological developments are now playing increasing roles in consumer health and the delivery of health services. Ubiquitous Cardiology: Emerging Wireless Telemedical Applications provides developmental solutions and explanations for cardiovascular diagnostics. Useful to field researchers, academicians, and healthcare practitioners, this Premier Reference Source presents a collection of studies on medical data redundancy, priority, and validity.

Ubiquitous Cardiology: Emerging Wireless Telemedical Applications

Augustyniak, Piotr

Medical Information Science Reference

A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of "Image Understanding" can be found as a model of mans' cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.

Medical Image Understanding Technology: Artificial Intelligence and Soft-Computing for Image Understanding (Studies in Fuzziness and Soft Computing, 156)

Springer

This work by two accomplished Polish researchers provides medical technicians and researchers alike with detailed descriptions of up-to-date methods used for computer processing and interpretation of medical images. The broad scope of the book takes in images acquisition, storing with compression, processing, analysis, recognition and also its automatic understanding. The introduction provides a general overview of the computer vision methods designed for medical images.

Modern Computational Intelligence Methods for the Interpretation of Medical Images (Studies in Computational Intelligence, 84)

Intelligent Open Learning Systems: Concepts, Models and Algorithms (Intelligent Systems Reference Library, 22)

In presented book the Intelligent Open Learning Systems (IOLS) are proposed, described, discussed, and evaluated. The IOLS is a system in which traditional methods of online teaching are enhanced through the use of artificial intelligence and cognitive science. This is the main topic of the book. It consists of ten chapters and is divided into three parts. The first part concentrates on the Open Learning System (OLS) analysis, in particular: the social and educational meanings of the OLS, the new role of the teacher and the new requirements regarding the structure of didactic material. Moreover, the cybernetic model of student, teacher and computer collaboration is presented, the teaching-learning process content and its main characteristics are discussed, and the system based approach to the OLS design is proposed. The second part is focused on the problem of knowledge modeling in the OLS based on the ontology and the competence approaches and leading to the learning object concept and competence management in open systems. The third part describes applications of the OLS in the virtual laboratory for competence transfer, the community-built system of distance learning network, and the AGH student city – the real-life application of the OLS concept. The authors’ research findings presented in the book should be useful in various applications related to knowledge management, e-learning systems and information systems.

Zaikin, Oleg

Różewski, Przemysław

Kusztina, Emma

IOLSs enhance traditional online teaching methods by applying artificial intelligence and cognitive science. This book moves from analyzing OLSs and the role of the teacher, to knowledge modeling and ways of transferring competence in the virtual laboratory.

A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of "Image Understanding" can be found as a model of mans' cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.

See the best price to sell, buy, or rent books by Tadeusiewicz, Ryszard. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Tadeusiewicz, Ryszard

See the best price to sell, buy, or rent books by Tadeusiewicz, Ryszard. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Exploring Neural Networks with C#

Exploring Neural Networks with C#

Ubiquitous Cardiology: Emerging Wireless Telemedical Applications

Medical Image Understanding Technology: Artificial Intelligence and Soft-Computing for Image Understanding (Studies in Fuzziness and Soft Computing, 156)

Modern Computational Intelligence Methods for the Interpretation of Medical Images (Studies in Computational Intelligence, 84)

Intelligent Open Learning Systems: Concepts, Models and Algorithms (Intelligent Systems Reference Library, 22)

Intelligent Open Learning Systems: Concepts, Models and Algorithms (Intelligent Systems Reference Library, 22)

Medical Image Understanding Technology: Artificial Intelligence and Soft-Computing for Image Understanding (Studies in Fuzziness and Soft Computing, 156)