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ARTIFICIAL NEURAL NETWORKS
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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
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INTRODUCTION HISTORY
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ANOLOGY OF BRAIN
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BIOLOGICAL NEURON Simplified Biological Neuron
Biological Neuron with Cell Body
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Simplified Biological Neuron
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Biological Neuron with cell body
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ARTIFICIAL NEURON
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DESIGN DIAGRAM
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COMPLEX RELATIONSHIPS
FLOW INPUT LAYER MIDDLE LAYER OUTPUT LAYER NEURONS CONNECTION PATHS
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LAYERS
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Communications and its types
Inter-layer Connections Intra-layer Connections
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Inter-layer Connections
Fully Connected Partially Connected Feed Forward Bi-directional Hierarchical Resonance
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Intra-layer Connections
Recurrent On-center/off surround
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LEARNING Unsupervised Learning Reinforcement learning Back propagation
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Off-line and On-line Off-Line On-Line
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LEARNING LAWS Hebb’s Rule Hopfield Rule The Delta Rule
Kohonen’s Learning Rule
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WHERE ARE NEURAL NETWORKS BEING USED?
Where they are used? APPLICATIONS
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Where they are used? Stock Market Forecast
Nestor – Financial Risk Assessment Net-talks Signatures Speech Bomb Detector - Snoope
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APPLICATIONS Prediction Classification Data Association
Data Conceptualization Data Filtering
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CONCLUSION
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REFERENCES http://www.ccs.neu.edu/home/cloder/
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Questions
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Thank you Sireesha…..
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It’s an MAHESH Presentation
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