An Introduction to Knowledge Engineering by Simon Kendal, Malcolm Creen
By Simon Kendal, Malcolm Creen
The authors use a fresh and novel 'workbook' writing sort which supplies the ebook a truly sensible and simple to exploit believe. It comprises methodologies for the advance of hybrid details platforms, covers neural networks, case established reasoning and genetic algorithms in addition to specialist platforms. a number of tips to net established assets and present study also are incorporated. The content material of the ebook has been effectively utilized by undergraduates worldwide. it truly is aimed toward undergraduates and a powerful maths history isn't required.
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Additional resources for An Introduction to Knowledge Engineering
Efforts that followed gave rise to various models of biological NN structures and learning algorithms. 3. Humans are very good at inferring conclusions from limited amounts of data while computers tend to excel at problems where a large number of repetitive or similar operations are required. Computers are built with many millions of individual switches within a single processor. They can perform millions of operations per second and, assuming that there is no hardware failure, they can carry out these operations with absolute mathematical precision.
For example, all values could be increased by 15% or decreased by 10%. Activity 8 Here are the inputs to a neuron that is being used to predict whether or not a driving test will be passed. Criteria Hours driving experience > 40 Age > 22 Power steering in car? Qualiﬁed instructor? 7. Richard is 23 years old and has just taken his driving test for the ﬁrst time. He was taught by his father in the family car without power steering (Richard’s father is a solicitor). So far he has had 55 hours driving experience.
2. 3. 4. 5. 6. Expert systems Neural networks (NNs) Case-based reasoning (CBR) Genetic algorithms Intelligent agents Data mining. Objectives By the end of the chapter you will be able to: r describe the characteristics of a knowledge-based system r explain the main elements of knowledge-based systems and how they work r evaluate the advantages and limitations of knowledge-based systems r identify appropriate contexts for the use of particular types of knowledge-based systems. 26 Types of Knowledge-Based Systems 27 SECTION 1: EXPERT SYSTEMS Introduction This section provides you with an introduction to expert systems and their use within knowledge engineering.