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ARTIFICIAL NEURAL NETWORKS

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Presentation on theme: "ARTIFICIAL NEURAL NETWORKS"— Presentation transcript:

1 ARTIFICIAL NEURAL NETWORKS

2 CONTENTS INTRODUCTION AND HISTORY OF NEURAL NETWORKS
ANOLOGY OF THE BRAIN BIOLOGICAL NEUTRON ARTIFICIAL NEURON DESIGN LAYERS COMMUNICATION AND TYPES OF CONNECTIONS LEARNING OFF-LINE AND ON-LINES LEARNING LAWS WHERE ARE NEURAL NETWORKS BEGIN USED CONCLUSION REFERENCES

3 INTRODUCTION HISTORY

4 ANOLOGY OF BRAIN

5 BIOLOGICAL NEURON Simplified Biological Neuron
Biological Neuron with Cell Body

6 Simplified Biological Neuron

7 Biological Neuron with cell body

8 ARTIFICIAL NEURON

9 DESIGN DIAGRAM

10 COMPLEX RELATIONSHIPS
FLOW INPUT LAYER MIDDLE LAYER OUTPUT LAYER NEURONS CONNECTION PATHS

11 LAYERS

12 Communications and its types
Inter-layer Connections Intra-layer Connections

13 Inter-layer Connections
Fully Connected Partially Connected Feed Forward Bi-directional Hierarchical Resonance

14 Intra-layer Connections
Recurrent On-center/off surround

15 LEARNING Unsupervised Learning Reinforcement learning Back propagation

16 Off-line and On-line Off-Line On-Line

17 LEARNING LAWS Hebb’s Rule Hopfield Rule The Delta Rule
Kohonen’s Learning Rule

18 WHERE ARE NEURAL NETWORKS BEING USED?
Where they are used? APPLICATIONS

19 Where they are used? Stock Market Forecast
Nestor – Financial Risk Assessment Net-talks Signatures Speech Bomb Detector - Snoope

20 APPLICATIONS Prediction Classification Data Association
Data Conceptualization Data Filtering

21 CONCLUSION

22 REFERENCES http://www.ccs.neu.edu/home/cloder/

23 Questions

24 Thank you Sireesha…..

25 It’s an MAHESH Presentation


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