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Sukanta Ghosh, Lovely Professional University Unit 11: Neural Networks

Unit 11: Neural Networks Notes

CONTENTS
Objectives
Introduction

11.1 Concept of Neural Network
11.1.1 Artificial Neural Network (ANN)
11.1.2 Biological and Artificial Neural Networks

11.1.3 Elements of ANN
11.1.4 Network Information Processing
11.1.5 Architecture
11.1.6 Learning in ANN
11.2 Development of Neural Network-based System

11.2.1 Data Collection and Preparation
11.2.2 Selection of Network Structure
11.2.3 Learning Algorithm Selection

11.2.4 Network Training
11.2.5 Testing
11.2.6 Implementation of an ANN
11.3 Summary
11.4 Keywords

11.5 Review Questions
11.6 Further Readings

Objectives

After studying this unit, you will be able to:

Discuss the Concept of Neural Networks
Explain the Elements of ANN
Discuss the Development of Neural Network Based Mining

Introduction

An Artificial Neural Network (ANN), often just called a “neural network” (NN), is a mathematical
model or computational model based on biological neural networks, in other words, is an
emulation of biological neural system. It consists of an interconnected group of artificial neurons
and processes information using a connectionist approach to computation. In most cases an
ANN is an adaptive system that changes its structure based on external or internal information
that flows through the network during the learning phase. In this unit, we will discuss the
concept of neural networks.

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