Artificial Intelligence Tools1996

This chapter reviews expert systems and neural networks, two of the main artificial intelligence tools that have been applied to quality control tasks in manufacturing. The chapter first discusses the basic components of an expert system and briefly surveys expert system development tools including various commercially available shells and environments. The fundamentals of neural networks are then described. Dififerent neural network architectures and learning strategies are detailed. Examples of applications will be presented in subsequent chapters of the book.

– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications

10.1007/978-1-4471-1498-7_2

This chapter reviews expert systems and neural networks, two of the main artificial intelligence tools that have been applied to quality control tasks in manufacturing.

– AI and computational technology are revolutionizing interior design graphics and modeling.
– These technologies offer benefits such as design iterations, material visualization, and time optimization.

– AI-based tools are transforming oncology clinical applications for personalized care.
– Challenges in applying AI-based tools in cancer care are discussed.

– Review of expert systems and neural networks
– Discussion of expert system development tools and neural network architectures

The paper discusses expert systems and neural networks as two main artificial intelligence tools used in quality control tasks in manufacturing.

– Expert systems
– Neural networks

– Expert systems and neural networks can be applied to quality control tasks in manufacturing.
– The paper provides examples of applications of these tools in subsequent chapters.

– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.

– The paper reviews existing AI technology and its potential applications in manufacturing systems.
– The paper discusses tools and techniques of AI relevant to the manufacturing environment.

– Expert systems and neural networks in quality control.
– Overview of expert system components and neural network fundamentals.