Paperback. Pub Date :2013-12-01 Language: Chinese Publisher: Sichuan Publishing Group . Sichuan People's Publishing House Basic information Title : Xuechoudinglv : Chinese history survival game Price: 48.00 yuan Author : Wu Si Publisher: Sichuan Sichuan People's Publishing House Publishing Group Publication Date : December 1. 2013 ISBN: 9787220090684 words: Page: Revision: first Edition Binding : Folio: 32 product ID: Editor's Choice Xuechoudinglv Mr. Wu Si has become the most selling . one of the most influential works of the author of this book has always been the narrative style of humor and a rich variety of subjects. in layman's language to illustrate the effect of Chinese history readers the ultimate rule. The book explores the lives of different dynasties price strategy against civilians . bandits kidnap for ransom stakes logic . business Jiaju Fu topics such as anti-...

Genuine Spot Xuechoudinglv : Chinese history survival game(Chinese Edition)

History

WU SI

Asia

Sichuan Publishing Group . Sichuan People's Publishing House

Unspoken rules: the real game in the history of China (2 2 India. inset).(Chinese Edition)

Yunnan People’s Publishing House

<p>Hidden Rules of Officialdom in Ancient China (revised edition) reveals the hidden rules of officialdom through analysis of historical cases, and points out hidden rules formed by seeking advantages and avoiding disadvantages.</p>

Hidden Rules of Officialdom in Ancient China (revised edition) (Chinese Edition)

Fudan University Press

<p>This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.</p>

An Introduction to Neural Information Processing

Computers & Technology

Liang, Peiji

Gu, Fanji

Computer Science

Springer

This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.

Sichuan Da Di Zhen Zhen Xiang

宮正

Huan Qiu Shi Ye (xianggang) Gong Si

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