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Neural Network (Advantages (to perform task that linear program cannot, it…
Neural Network
Advantages
to perform task that linear program cannot
it requires less formal statistical training
ability to detect all possible interactions between predictor variable
the availability of multiple training algorithms
it can be implemented in any application
it can be implemented without any problem
it learns and does not need to be reprogrammed.
disadvantages
blackbox nature
greater computational burden
proneness to overfitting
empirical nature of model development
it needs training to operate
requires high processing time for large neural networks
Applications
Classification
pattern recognition
feature extraction
image matching
Noise reduction
recognize patterns in inputs
produce noiseless outputs
Prediction
extrapolation based on historical data
forecasting in sales, market research and meteorology
investment analysis
Types
Topology
Multilayer
Recurrent
Single Layer
Learning Methods
Supervised
Reinforcement
unsupervised
Connection Type
Dynamic / feedback
Static / feedforward
components
Weights
thresholds
Activation function