Chapter 1 Industry 4
1.1 Industrial revolutions and Industry 4
1.2 Cloud systems
1.3 Machine to machine（M2M）communication
1.4 Smart factories
1.5 Internet of things
Chapter 2 Intelligent robotics
2.1 Introduction
2.2 Definition：what is an intelligent robot？
2.3 Intelligent robot
2.4 Motivation：why robots？
2.5 Seven areas of AI：why intelligence？
Chapter 3 Intelligent devices
3.1 Intelligent instruments
3.2 Smart sensors
3.3 Smart transmitters
Chapter 4 Material selection and design
4.1 Manufacturing challenges
4.2 Manufacturing optimization through intelligen t techniques
Chapter 5 Design for manufacturability
5.1 Definition
5.2 Competition and vulnerability
5.3 Simplifying machine in the design stage
5.4 Dimensional tolerances and surface roughness
Chapter 6 Computational intelligence for manufacturing
6.1 Knowledge-based systems
6.2 Fuzzy logic
6.3 Inductive learning
6.4 Neural networks
6.5 Genetic algorithms
Chapter 7 Search-related techniques in AI
7.1 Artificial intelligence
7.2 Business intelligence，big data and data governance
Chapter 8 Machine learning
8.1 Conceptual machine learning
8.2 Machine learning intelligence
8.3 How machine learning works
8.4 The pros and cons of complexity
8.5 Balancing complexity
8.6 Feature engineering
8.7 Converting data to useable format
8.8 Helping your model use the data
8.9 Normalizing
8.10 Exposing hidden information
8.11 Expanding the context
8.12 Eliminating misleading things
8.13 Modeling
8.14 Complexity parameters
8.15 Identifying overfitting
8.16 Summary
