【原文書】
書名:Field and Wave Electromagnetics 2/e (台灣印製版)
作者 : David K. Cheng
出版社:PEARSON
ISBN:9789862803165
【中文翻譯書】
書名:電磁學 第二版
原文書名:Field and Wave Electromagnetics 2/E
譯者:李永勳
作者: David K. Cheng
出版社:偉明
ISBN : 9789579899109
目 錄:
1:電磁模型
2:向量分析
3:靜電場
4:靜電問題的解
5:穩定電流
6:靜磁場
7:時變場和馬克斯威爾方程式
8:平面電磁波
9:傳輸線的原理及應用
10:波導管及空腔共振器
11:天線與輻射系統
A:符號與單位
B:一些重要常數
C:圖表索引
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工程電磁學 (Fundamentals of Engineering Electromagnetics) (1版)
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【中文翻譯書】
書名:工程電磁學 第一版
原文書名:Fundamentals of Engineering Electromagnetics
作者:David K. Cheng
翻譯:游信勝
出版社:偉明
出版日期:1998/01/01
ISBN:9789579899116
目錄
第一章 電磁模型
第二章 向量分析
第三章 靜電場
第四章 穩定電流
第五章 靜磁場
第六章 時變場和馬克斯威爾方程式
第七章 平面電磁波
第八章 傳輸線
第九章 波導管和空腔共振器
第十章 天線和天線陣列
附錄A 符號和單位
附錄B 一些有用的物質常數
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Building Codes Illustrated: A Guide to Understanding the 2024 International Building Code (8版)
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【簡介】
STAY INFORMED OF THE LATEST UPDATES TO THE INTERNATIONAL BUILDING CODE WITH THE LEADING VISUAL REFERENCEIn the newly revised Eighth Edition of Building Codes Illustrated: A Guide to Understanding the 2024 International Building Code(R), architectural drawing expert Francis D.K. Ching and well-known architect Steven R. Winkel deliver a beautifully illustrated and intuitively written handbook for the 2024 International Building Code (IBC). The authors provide updated material in all the chapters to align with the code changes in the new 2024 International Building Code (IBC). Easy to navigate and perfect as a quick-reference guide to the IBC, Building Codes Illustrated is a valuable visual resource for emerging professionals. The book also includes: Thorough introductions to navigating the Code, use and occupancy, special uses and occupancies, and building heights and areasFull explorations of the types of construction, fire resistive construction, interior finishes, fire-protection systems, and means of egressPractical discussions of accessibility, interior environment, exterior walls, roof assemblies, and structural provisionsIn-depth examinations of special inspections and tests, soils and foundations, building materials and systems, and elevatorsPerfect for students of architecture, interior design, construction, and engineering, the latest edition of Building Codes Illustrated is also ideal for professionals in these fields seeking an up-to-date reference on the 2024 International Building Code.
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A GUIDE TO GENETIC COUNSELING, 3RD EDITION (1版)
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Artificial Intelligence: A Guide to Intelligent Systems (4版)
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【簡介】
What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.
Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.
【目錄】
Introduction to Intelligent Systems
1.1 Intelligent Machines, or What Machines Can Do
1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems
1.3 Generative AI
1.4 Summary
Questions for Review
References
Expert Systems
2.1 Introduction, or Knowledge Representation Using Rules
2.2 The Main Players in the Expert System Development Team
2.3 Structure of a Rule-based Expert System
2.4 Fundamental characteristics of an expert system
2.5 Forward Chaining and Backward Chaining Inference Techniques
2.6 MEDIA ADVISOR: A Demonstration Rule-based Expert System
2.7 Conflict Resolution
2.8 Uncertainty Management in Rule-based Expert Systems
2.9 Advantages and Disadvantages of Rule-based Expert systems
2.10 Summary
Questions for Review
References
Fuzzy Systems
3.1 Introduction, or What Is Fuzzy Thinking?
3.2 Fuzzy Sets
3.3 Linguistic Variables and Hedges
3.4 Operations of Fuzzy Sets
3.6 Fuzzy Inference
3.7 Building a Fuzzy Expert System
3.8 Summary
Questions for Review
References
Frame-based Systems and Semantic Networks
4.1 Introduction, or What Is a Frame?
4.2 Frames as a Knowledge Representation Technique
4.3 Inheritance in Frame-based Systems
4.4 Methods and Demons
4.5 Interaction of Frames and Rules
4.6 Buy Smart: A Frame-based Expert System
4.7 The Web of Data
4.8 RDF – Resource Description Framework and RDF Triples
4.9 Turtle, RDF Schema and OWL
4.10 Querying the Semantic Web with SPARQL
4.11 Summary
Questions for Review
References
Artificial Neural Networks
5.1 Introduction, or How the Brain Works
5.2 The Neuron as a Simple Computing Element
5.3 The Perceptron
5.4 Multilayer Neural Networks
5.5 Accelerated Learning in Multilayer Neural Networks
5.6 The Hopfield Network
5.7 Bidirectional Associative Memory
5.8 Self-organising Neural Networks
5.9 Reinforcement Learning
5.10 Summary
Questions for Review
References
Deep Learning and Convolutional Neural Networks
6.1 Introduction, or How “Deep” Is a Deep Neural Network?
6.2 Image Recognition or How Machines See the World
6.3 Convolution in Machine Learning
6.4 Activation Functions in Deep Neural Networks
6.5 Convolutional Neural Networks
6.6 Back-propagation Learning in Convolutional Networks
6.7 Batch Normalisation
6.8 Summary
Questions for Review
References
Evolutionary Computation
7.1 Introduction, or Can Evolution Be Intelligent?
7.2 Simulation of Natural Evolution
7.3 Genetic Algorithms
7.4 Why Genetic Algorithms Work
7.5 Maintenance Scheduling with Genetic Algorithms
7.6 Genetic Programming
7.7 Evolution Strategies
7.8 Ant Colony Optimisation
7.9 Particle Swarm Optimisation
7.10 Summary
Questions for Review
References
Hybrid Intelligent Systems
8.1 Introduction, or How to Combine German Mechanics with Italian Love
8.2 Neural Expert Systems
8.3 Neuro-Fuzzy Systems
8.4 ANFIS: Adaptive Neuro-Fuzzy Inference System
8.5 Evolutionary Neural Networks
8.6 Fuzzy Evolutionary Systems
8.7 Summary
Questions for Review
References
Knowledge Engineering
9.1 Introduction, or What Is Knowledge Engineering?
9.2 Will an Expert System Work for My Problem?
9.3 Will a Fuzzy Expert System Work for My Problem?
9.4 Will a Neural Network Work for My Problem?
9.5 Will a Deep Neural Network Work for My Problem?
9.6 Will Genetic Algorithms Work for My Problem?
9.7 Will Particle Swarm Optimisation Work for My Problem?
9.8 Will a Hybrid Intelligent System Work for My Problem?
9.9 Summary
Questions for Review
References
Data Mining and Knowledge Discovery
10.1 Introduction, or What Is Data Mining?
10.2 Statistical Methods and Data Visualisation
10.3 Principal Components Analysis
10.4 Relational Databases and Database Queries
10.5 The Data Warehouse and Multidimensional Data Analysis
10.6 Decision Trees
10.7 Association Rules and Market Basket Analysis
10.8 Summary
Questions for Review
References
Glossary
Index
原價:
1680
售價:
1596
現省:
84元
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CompTIA A+ Guide to IT Technical Support (11版)
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【簡介】
Using a step-by-step, highly visual approach, Andrews/Dark Shelton/Pierce's bestselling COMPTIA A+ GUIDE TO IT TECHNICAL SUPPORT, 11th edition, teaches you how to work with users as well as install, maintain, troubleshoot and network computer hardware and software. Ensuring you are well prepared for 220-1101 and 220-1102 certification exams, each module covers core and advanced topics while emphasizing practical application of the most current technology, techniques and industry standards. You will study the latest hardware, security, Active Directory, operational procedures, basics of scripting, virtualization, cloud computing, mobile devices, Windows 10, macOS and Linux. Digital lab manuals, live virtual machine labs, simulations, auto-graded quizzes and interactive activities provide additional preparation for the certification exam -- and your role as an IT support technician or administrator.
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A Guide to Responsible Research (1版)
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This Open Access book is a guide to good, responsible research at each step of the process of research discovery, so that a researcher at the beginning of a scientific career has a clear pathway to doing good research and producing reliable results.The textbook will give context to the practices described in the European Code of Conduct for Research Integrity, guided by the fundamental principles or research integrity – reliability, honesty, respect, and accountability. Although we base the book on the European Code, the principles are the same in the global research community, such as those outlined in Fostering Integrity in Research from the US National Academies; Engineering and Medicine. The chapters in the book follow good research practices, give practical advice and address basic principles. In this way, the book is applicable to different research fields. It directs readers to various sources for further and updated information, particularly drawing from the resources available at The Embassy of Good Science, the European platform for research integrity and ethics.
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