PowerPoint Presentation On Neural Networks

 PPT On Neural Networks

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Neural Networks Presentation Transcript:

1. Introduction
What Is Neural Network? An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information.

2. Why Use Neural Networks?
A trained neural network can be thought of as an "expert" in the category of information it has been given to analyze. The Other advantages include: 1.Adaptive learning 2.Self-Organisation 3.Real Time Operation 4.Fault Tolerance via Redundant Information Coding

3. Neural Networks Vs Conventional Computers
1.Conventional computers use an algorithmic approach i.e. the computer follows a set of instructions in order to solve a problem . 2. The network is composed of a large number of highly interconnected processing elements (neurones) working in parallel to solve a specific problem. Neural networks learn by example.

4. Network Layers INPUT:
The activity of the input units represents the raw information that is fed into the network. HIDDEN:The activity of each hidden unit is determined by the activities of the input units and the weights on the connections between the input and the hidden units. OUTPUT:The behaviour of the output units depends on the activity of the hidden units and the weights between the hidden and output units.

5. Perceptrons

6. Applications of neural networks
Neural networks in medicine Electronic noses Instant Physician Neural Networks in business sales forecasting industrial process control customer research data validation risk management target marketing

7. Thanks.