7/31/2019 Advanced Learning Methodologies

1/20

ADVANCED LEARNING METHODOLOGIES

IN

ARTIFICIAL NEURAL NETWORKS

P gnana deep

7/31/2019 Advanced Learning Methodologies

2/20

ADVANCED LEARNING METHODOLOGIESIN

ARTIFICIAL NEURAL NETWORKS

The Incredible Brain.

Mechanical Revolutions.

The Computer. Thinking Process.

Imitating the Brain.

Artificial neural Networks.

7/31/2019 Advanced Learning Methodologies

3/20

THE BIOLOGICAL NEURON

Brain-the most Complex Machine. Neurons-Chief Components.

7/31/2019 Advanced Learning Methodologies

4/20

THE BIOLOGICAL NEURON

7/31/2019 Advanced Learning Methodologies

5/20

THE BIOLOGICAL NEURON

7/31/2019 Advanced Learning Methodologies

6/20

THE NEURON MODEL

7/31/2019 Advanced Learning Methodologies

7/20

ARTIFICIAL NEURON MODELS

The McCulloh Pitts Model 1943.

No Learning Algorithm.

Frank Rosenblatts PERCEPTRON.

A Pattern Classification System.

7/31/2019 Advanced Learning Methodologies

8/20

A PERCEPTRON MODEL

7/31/2019 Advanced Learning Methodologies

9/20

DISTINGUISHING FEATURES

Pattern Extraction & Trends Detection.

Adaptive learning.

Self-Organization. Real Time Operation.

Fault Tolerance via Redundant

Information Coding.

7/31/2019 Advanced Learning Methodologies

10/20

LEARNING ASPECTS

The ability to Recognize.

1,2,3 --- Group A.

7,8,9 --- Group B.

Number 4 is Identified as Closer to Group A.

Number 6 is Identified as Closer to Group B.

7/31/2019 Advanced Learning Methodologies

11/20

ADVANCED LEARNING METHODOLOGIES

Supervised Learning

Unsupervised Learning

Reinforced Learning Competitive Learning

Widrow-Hoff Learning

Hebbian Learning

7/31/2019 Advanced Learning Methodologies

12/20

SUPERVISED LEARNING

The Biological TEACHER.

The Target

Readjustment Zero Error

APPLICATIONS-Pattern Recognition,

Speech & Gesture recognition.

7/31/2019 Advanced Learning Methodologies

13/20

7/31/2019 Advanced Learning Methodologies

14/20

REINFORCED LEARNING

The BINARY TEACHER.

Pass/Fail Condition.

If Fail Readjust & Try again.

APPLICATIONS Control Problems, Games.

7/31/2019 Advanced Learning Methodologies

15/20

COMPETITIVE LEARNING

Several Neurons at the Output Layer.

Inter-Neuron Competition.

Each output Neuron is trained torespond tom a different input Stimulus.

APPLICATIONS Artificial Limbs,

Advanced Cars.

7/31/2019 Advanced Learning Methodologies

16/20

WIDROW-HOFF LEARNING &

HEBBIAN LEARNING

Continuous adjustments of the weights.

Degree of Correlativity.

7/31/2019 Advanced Learning Methodologies

17/20

THE WORLDS FIRST BIONIC WOMAN

A NeuroControlled

Bionic Arm that can

be moved just by

Thinking about it.

Natural movement,

greater range of motion

and restores lostfunction.

7/31/2019 Advanced Learning Methodologies

18/20

CONCLUSION

Development of Physical Systems that areCompatible with the Methodologies.

Increasing the Speed and Iteration rate.

Advancements in Mechatronics.

A Promising Future.

7/31/2019 Advanced Learning Methodologies

19/20

?

7/31/2019 Advanced Learning Methodologies

20/20

THANK YOU