ARTIFICIAL NEURAL NETWORKS CONTENTS 1 INTRODUCTION AND HISTORY

ARTIFICIAL NEURAL NETWORKS

CONTENTS 1. INTRODUCTION AND HISTORY OF NEURAL NETWORKS 2. ANOLOGY OF THE BRAIN 3. BIOLOGICAL NEUTRON 4. ARTIFICIAL NEURON 5. DESIGN 6. LAYERS 7. COMMUNICATION AND TYPES OF CONNECTIONS 8. LEARNING 9. OFF-LINE AND ON-LINES 10. LEARNING LAWS 11. WHERE ARE NEURAL NETWORKS BEGIN USED 12. CONCLUSION 13. REFERENCES

INTRODUCTION HISTORY

ANOLOGY OF BRAIN

BIOLOGICAL NEURON v Simplified Biological Neuron v Biological Neuron with Cell Body

Simplified Biological Neuron

Biological Neuron with cell body

ARTIFICIAL NEURON

DESIGN DIAGRAM

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

LAYERS

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

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

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

LEARNING Unsupervised Learning Reinforcement learning Back propagation

Off-line and On-line q Off-Line q On-Line

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

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

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

APPLICATIONS Ø Prediction Ø Classification Ø Data Association Ø Data Conceptualization Ø Data Filtering

CONCLUSION

REFERENCES http: //www. ccs. neu. edu/home/cloder/ http: //www. ccs. neu. edu/groups/honorsprogram/freshsem/19951996/cloder/ http: //www. cog. brown. edu/brochure/people/ jaa/jaa. html

Questions

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