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Kamlesh Lakhwani, Lovely Professional University Unit 12: Applications of Neural Network

Unit 12: Applications of Neural Network Notes

CONTENTS
Objectives
Introduction

12.1 Applications of ANN
12.2 Other Applications
12.2.1 Pattern Recognition

12.2.2 Evolution of Neural Networks for Control of Pursuit & Evasion
12.2.3 Learning the Distribution of Object Trajectories for Event Recognition
12.2.4 Radiosity for Virtual Reality Systems (ROVER)
12.2.5 Using HMM’s for Audio-to-Visual Conversion
12.2.6 Artificial Life: Galapagos

12.2.7 Speechreading (Lipreading)
12.2.8 Detection and Tracking of Moving Targets
12.2.9 Real-time Target Identification for Security Applications

12.2.10 A Three Layer Feedforward Neural Network
12.2.11 Artificial Life for Graphics, Animation, Multimedia and Virtual Reality
12.3 Summary
12.4 Keywords
12.5 Review Questions

12.6 Further Readings

Objectives

After studying this unit, you will be able to:

Discuss Applications of Neural networks
Discuss Various Application such as Pattern Recognition, Galapagos, etc.
Introduction

ANN have been applied in many domains. There have been several tests of neural networks in
financial markets. Collard (1990) stated that his neural network model for commodity training
would have resulted in significant profits over other trading strategies. Kamijo and Tanigawa
(1990) used a neural network to chart Tokyo Stock Exchange data. They found that the results of
the model would beat a “buy and hold” strategy. Finally, a neural model for predicting percentage
change in the S&P 500 five days ahead, using a variety of economic indicators, was developed.
It is claimed that the model has provided more accurate prediction than alleged experts in the
field using the same indicators. In this unit, we will discuss various applications of neural
networks.

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