Brain and Nature-Inspired Learning, Computation and Recognition Books

Click Get Book Button To Download or read online Brain and Nature-Inspired Learning, Computation and Recognition books, Available in PDF, ePub, Tuebl and Kindle. This site is like a library, Use search box in the widget to get ebook that you want.

Brain and Nature Inspired Learning Computation and Recognition


Brain and Nature Inspired Learning Computation and Recognition
  • Author : Licheng Jiao
  • Publisher : Elsevier
  • Release : 2020-01-31
  • ISBN : 0128197951
  • Language : En, Es, Fr & De
GET BOOK

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Brain and Nature Inspired Learning Computation and Recognition


Brain and Nature Inspired Learning  Computation and Recognition
  • Author : Licheng Jiao
  • Publisher : Elsevier
  • Release : 2020-01-18
  • ISBN : 9780128204047
  • Language : En, Es, Fr & De
GET BOOK

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Process Safety and Big Data


Process Safety and Big Data
  • Author : Sagit Valeev
  • Publisher : Elsevier
  • Release : 2021-03-01
  • ISBN : 9780128220672
  • Language : En, Es, Fr & De
GET BOOK

Process Safety and Big Data discusses the principles of process safety and advanced information technologies, explaining its application to the process industry and providing examples of applications in process safety control and decision support systems. The book helps address problems that researchers face as the result of increased process complexity. The book shows ways to tackle safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies used in the control and management of process safety in industry. In addition, the book considers indicators and criteria in effective safety decision, helps safety managers understand how to make effective safety decisions, addresses the issue of how big data provides support for (autonomous) improved data-driven decisions, and provides indicators and criteria for big data in process safety. Paves the way for the digital transformation of safety science and safety management Takes a system approach to advanced information technologies used in process safety Provides examples on how AI is applied in the contextualization of data streams that are monitored to improve safety performance Applies big data technologies to process safety Includes case studies at the end of the book

Nature Inspired Computing Concepts Methodologies Tools and Applications


Nature Inspired Computing  Concepts  Methodologies  Tools  and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 2016-07-26
  • ISBN : 9781522507895
  • Language : En, Es, Fr & De
GET BOOK

As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Nature Inspired Computing Design Development and Applications


Nature Inspired Computing Design  Development  and Applications
  • Author : Nunes de Castro, Leandro
  • Publisher : IGI Global
  • Release : 2012-05-31
  • ISBN : 9781466615755
  • Language : En, Es, Fr & De
GET BOOK

The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of natural computing with emphasis on its main branches.