Neuron Modeling for Artificial Neural Systems

Neuron Modeling for Artificial
Neural Systems

1. •Neuron Modeling for
Artificial
•Neural Systems

2. Common models of neurons with synaptic connections: (a) hard-limiting neuron
(binary perceptron) and (b) soft-limiting neuron (continuous perceptron).

4. MODELS OF ARTIFICIAL
NEURAL NETWORKS
•Feedforward Network
0 = [ol o2 . . . om]'
x = [x, x, ..-x,lt

7. EXAMPLE

9. Feed back Network

10. LEARNING AND ADAPTATION
•Supervised and Unsupervised Learning

11. NEURAL NETWORK
LEARNING RULES

13. Hebbian Learning Rule

14. EXAMPLE

18. Perceptron Learning Rule

20. EXAMPLE

23. Delta Learning Rule

26. EXAMPLE