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ANN Layer and Neuron Optimization Study by pratibhakakade9075 is a document available to read on EtoBox.

This paper analyzes the optimal number of layers and neurons in Artificial Neural Networks (ANN) for pattern recognition tasks. The study found that the best performance was achieved with 1-5 hidden layers and 19 neurons, yielding recognition accuracy between 96-100%. The research utilized case studies involving alphabet and shape patterns to evaluate the ANN configurations.

Author

pratibhakakade9075

Language

EN