Less-supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main app...Lasīt vairāk
(Izdošanas datums: 14-Jan-2025, Paperback / softback, Izdevniecība: Morgan Kaufmann Publishers In, ISBN-13: 9780443292026)
Neural Network Algorithms and Their Engineering Applications presents the relevant techniques used to improve the global search ability of neural network algorithms in solving complex engineering problems with multimodal properties. The book p...Lasīt vairāk
Handbook of Neural Engineering: A Modern Approach provides a comprehensive overview of the field from biology to recent technological advances through an interdisciplinary lens. The book is divided into three sections: 1) Biological Considerations...Lasīt vairāk
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine...Lasīt vairāk
Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings...Lasīt vairāk
Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained throu...Lasīt vairāk
Introduction to Deep Learning and Neural Networks with Python: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python code examples to clar...Lasīt vairāk
Organized into 4 sections, each looking at the question of outcome prediction in cancer from a different angle. This work describes the clinical problem and some of the predicaments that clinicians face in dealing with cancer. It discusses a number...Lasīt vairāk
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In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in tw...Lasīt vairāk
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IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. Ithas arguably been the preeminent conference in the field, even as neural network conferenceshave proliferated and specialized. As the number of confe...Lasīt vairāk
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This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp...Lasīt vairāk
This book is a comprehensive reference in the field of neural networks and genome informatics. The tutorial of neural network foundations introduces basic neural network technology and terminology. This is followed by an in-depth discussion of specia...Lasīt vairāk
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The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in...Lasīt vairāk
(Izdošanas datums: 24-Oct-1996, Paperback / softback, Izdevniecība: Morgan Kaufmann Publishers In, ISBN-13: 9780125931151)
Suitable for those who want to understand, implement, or utilize neural networks. This book/disk package offers the reader with a foundation from which any neural network architecture can be constructed. It describes how to use the classes provided...Lasīt vairāk
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A book/disk package summarizing the body of knowledge in neural networks, evolutionary computation, fuzzy logic, and computational intelligence, illustrated with software implementations of the concepts in each area. For researchers and senior underg...Lasīt vairāk
(Izdošanas datums: 16-Apr-1996, Paperback / softback, Izdevniecība: Morgan Kaufmann Publishers In, ISBN-13: 9780126791709)
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Neural networks have been applied extensively in business forecasting, machine health monitoring, process control and laboratory data analysis due to their modelling capabilities. This volume shows the reader how to plan, run and benefit from a neur...Lasīt vairāk
Steven F. Zornetzer, Thomas M. McKenna, Clifford Lau, Joel L. Davis
Sērija : Neural Networks: Foundations to Applications
(Izdošanas datums: 18-May-1995, Hardback, Izdevniecība: Morgan Kaufmann Publishers In, ISBN-13: 9780127818825)
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This book is a vivid presentation of the foremost research and theory from the disciplines that provide the foundations of neural network research: neurobiology, physics, computer science, electrical engineering, mathematics, and psychology. An Intr...Lasīt vairāk
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Besides core chemical engineering, this book includes applications in process engineering, biochemical engineering and metallurgical engineering. Of the 27 chapters, six cover theoretical issues and the remaining 21 cover applications....Lasīt vairāk
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These proceedings are divided into six sections: pattern recognition; signal and image processing; probabilistic reasoning; neural networks; comparative studies; and hybrid systems. They offer prospective users examples of a range of applications of...Lasīt vairāk
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This collection of papers presents a review of the various applications of chaos in mathematics, physics, biology, chemistry and engineering....Lasīt vairāk