COPYRIGHT YEAR

2005

TITLE

Introduction to Machine Learning Using Neural Nets

ABSTRACT

This chapter provides an introduction to machine learning using artificial neural networks. It reviews biological neural networks, and presents a general framework to construct their mathematical models with a view to study their applications in machine learning. The chapter overviews five different types of machine learning such as supervised learning, unsupervised learning, competitive learning, reinforcement learning and Hebbian learning. Stability and convergence are two fundamental issues in studying machine learning algorithms. The interrelationship between stability of a dynamical learning system and convergence of a learning algorithm is presented in detail in this chapter. Concluding remarks are appended at the end of the chapter.

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18 sg:scigraphId 0f93eba2adafde9733513a33e3feb89d
19 sg:title Introduction to Machine Learning Using Neural Nets
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22 rdfs:label BookChapter: Introduction to Machine Learning Using Neural Nets
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