本书从数字技术与经济的发展环境演变出发，对数字经济的内涵与特征进行了系统性梳理，将传统经济形态与数字经济形态进行比较，分析了数字经济与产业融合发展的路径，构建了一个数字经济应用的基本场景。在此基础上，本书以当前国际贸易形势为背景，对数字贸易、数字平台、数字产品以及数字营销的相关知识进行了系统梳理。最后，对国内外数字贸易发展面临的困难、经验与对策进行了分析。本书可作为从事数字经济与数字贸易相关工作的企业管理人员、研究人员等以及高校相关专业的师生的参考用书。

This book provides a solid statistical foundation for neural networks from a pattern recognition perspective. The focus is on the types of neural nets that are most widely used in practical applications， such as the multi-layer perceptron and radial basis function networks. Rather than trying to cover many different types of neural networks， Bishop thoroughly covers topics such as density estimation， error functions， parameter optimization algorithms， data pre-processing， and Bayesian methods. All topics are organized well and all mathematical foundations are explained before being applied to neural networks. The text is suitable for a graduate or advanced undergraduate level course on neural networks or for practitioners interested in applying neural networks to real-world problems. The reader is assumed to have the level of math knowledge necessary for an undergraduate science degree.

This book constitutes the refereed proceedings of the 6th International Conference on Applied Parallel Computing， PARA 2002， held in Espoo， Finland， in June 2002.The 50 revised full papers presented together with nine keynote lectures were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on data mining and knowledge discovery， parallel program development， practical experience in parallel computing， computer science， numerical algorithms with hierarchical memory optimization， numerical methods and algorithms， cluster computing， grid and network technologies， and physics and applications.

This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition， ICAPR 2001， held in Rio de Janeiro， Brazil in March 2001.The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence， character recognition and document analysis， feature selection and analysis， pattern recognition and classification， image and signal processing applications， and image feature analysis and retrieval.

This book constitutes the carefully refereed proceedings of the 4th International Workshop on Applied Parallel Computing， PARA'98， held in Umea， Sweden， in June 1998.The 75 revised papers presented were carefully reviewed and selected for inclusion in the book. The papers address a variety of topics in large scale scientific and industrial-strength computing， in particular high-performance computing and networking; tools， languages， and environments for parallel processing; scientific visualization and virtual reality; and future directions in high-performance computing and communication.

暂缺简介...

本书根据1977年至20山年30多年间中学生平面几何教学问题和习作笔记，参考俄、英、美、日等国中学平面几何教学经验和课外读物，编写的中学生数学课外读物，在平面内以证明线段相等为主线，分14类介绍常见平面几何题目的证明或解答。

本书共分为六章和三个附录，介绍了“几何画板”软件的基本特色、有关操作约定及如何进行“几何画板”的用户参数设置外，主要以范例的形式介绍如何用几何画板制作课件等内容。

暂缺简介...

In this book， the author develops a generative theory of shape with two properties fundamental to intelligence： maximizing transfer of structure， and maximizing recoverability of generative operations. The theory is applied in considerable detail to CAD， perception， and robotics. A significant aspect of this book is the development of an object-oriented theory of geometry. This includes a group-theoretic formulation of object-oriented inheritance. In particular， a class of groups is developed called "unfolding groups"， which define any complex shape as unfolded from a maximally collapsed version of itself called an "alignment kernel". The group is decomposed into levels corresponding to the inheritance hierarchy within the complex object. This achieves one of the main goals of the theory - the conversion of complexity into understandability. The advantages of the theory are demonstrated with lengthy studies of robot manipulators， perceptual organization， constructive solid geometry， assembly planning， architectural CAD， and mechanical CAD/CAM.