Artificial Intelligence tutorial (colleges and universities teaching computer science and technology series)

Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 380 Publisher: Higher Education Pub. Date :2008-03-01 version 1. This book is the general higher education. Eleventh Five-Year national planning materials. This book is the author combines computer professional norms. and based on their own teaching practice. study and absorb the experience of their predecessors. by induction. refining and innovation has its own distinctive form of teaching. The book systematically introduces the basic principles of artificial intelligence. methods and application technology. The book is divided into two. including 10 chapters. Section 1 of the principle articles. discusses the knowledge representation. knowledge acquisition and knowledge use three major issues. including the basic concepts of artificial intelligence and its development. knowledge representation. uncertainty reasoning. uncertain reasoning. the state space search. machine learning and so on. Section articles for the application papers to introduce the natural language understanding. expert systems. artificial neural network research. and in Chapter 10 and the main techniques of data mining and other hot areas of research are described. Each chapter gives a lot of examples and exercises for students to practice using. This book features a concise. practical. logical. readable. teaching students hands-on problem-solving. in line with current requirements of quality education for students in a limited period of time to master the basic principles and applications of artificial intelligence technology to improve Problem solving ability of artificial intelligence. This book can be used as computer and related professional colleges senior undergraduate and graduate artificial intelligence course materials are also available for applications in artificial intelligence research and information technology workers. also equivalent to apply for a master's degree as well as participate in other examination relevant officers. Contents: Part I Introduction Chapter 1 Principles chapter Chapter 2 Chapter 3 Knowledge Representation uncertainty reasoning uncertain reasoning Chapter 4 Chapter 5 state-space search strategy Chapter 6 Section machine learning chapter 7 (Application) natural language understanding Chapter Chapter 8 Chapter 9 of expert systems of artificial neural networks and genetic algorithms Data Mining Chapter 10 Appendix A and the main technology in computer science and technology comprehensive examination Zhenti Appendix B Computer Science and Technology References comprehensive examination Zhenti answerFour Satisfaction guaranteed,or money back. …