Xiangtao (21 results)

Softcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. Blind stamp on first page.; Text in English. ; 8vo; 32 pages.

Soft cover. Condition: Very Good. Very good minus copy in softcover. Tall 8vo. Light rubbing. Names of provinces written on map in back of book. Small green check marks in margin of references section. Text in English.

vi, 273 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condition: New.

Condition: New. In.

Condition: New. pp. 273.

Hardcover. Condition: Brand New. 280 pages. 9.25x6.10x0.79 inches. In Stock.

Buch. Condition: Neu. Neuware -This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning.Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learningFeatures natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithmsSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning.Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning.Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms.

Soft cover. Condition: New. Language:Chinese.Author:Li Xiangtao.Binding:Soft Cover.Publisher:Hunan Education Publishing House.

Soft cover. Condition: New. Language:English.Author:Li Xiangtao.Binding:Soft Cover.

paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Language: Chinese with Latin name and English name. Pub. Date: 2005. wild animals. natural history. heritage. an important part of the biosphere. humanity and common wealth of valuable resources. However. due to deforestation. pollution of the environment. exploit and Luanbulanlie type of deforestation. including mammals. including so many wild animals have been a disaster. growing at an alarming rate of disappearance from the world. has reached the worst level in history. Extinction of wildlife caused by the crisis and warning people to protect the natural environment. because one can not survive in the environment for wild animals. the day may soon no longer fit for human survival of the. How to effectively protect the mammals and other wildlife. efforts to save rare and endangered species. has been placed in front of a human imperative urgent task. Protection of wild animals. reflecting a country. a nation of science and culture. Knowledge and understanding of wildlife patterns. habits and values. is to make people understand the significance of the protection of wild animals. raise the consciousness of people to protect wildlife is an important way. 1200 kinds of mammals through the book of photos and text to introduce the classification of their position. morphological characteristics. habits. breeding law and so on. We hope that through the introduction of the book so that readers of mammals have a more comprehensive and profound understanding. but also by the appreciation of these animal pictures. get a better experience. Contents: one. two Carnivora. Artiodactyla three Perissodactyla present four. five head tree shrews. primates. six. seven lean head gear. head scales eight. nine head tube gear. hyraxes head ten. eleven Proboscidea . single-hole mesh XII marsupial head XIII. Insectivora fourth. leather wing head XV Chiroptera XVI rabbit-shaped head XVII rodents eighth. cetaceans ninth. fins Isopoda XX Sirenia Appendix 1 Appendix 2 of the world focus on China to protect mammals mammal protectionFour Satisfaction guaranteed,or money back.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning.Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms 280 pp. Englisch.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning.Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms 280 pp. Englisch.

Condition: New. Print on Demand pp. 273.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Xiangtao Li received the B.Eng. Degree, the M.Eng. and Ph.D. degrees in computer science from Northeast Normal University, Changchun, China in 2009, 2012, 2015, respectively. Now He is an associate professor in the Department of Computer science and in.

Condition: New. PRINT ON DEMAND pp. 273.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning.Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learningFeatures natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithmsSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.

Taschenbuch. Condition: Neu. Natural Computing for Unsupervised Learning | Ka-Chun Wong (u. a.) | Taschenbuch | vi | Englisch | 2018 | Springer | EAN 9783030075088 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condition: Neu. Natural Computing for Unsupervised Learning | Ka-Chun Wong (u. a.) | Buch | vi | Englisch | 2018 | Springer International Publishing | EAN 9783319985657 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.