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Estimation-of-a-non-linear-function

Context

In this project, seasonal species migration is modeled. Many species show bimodal migratory pattern depicting spring and autumn migrations

Objective

Build a neural network to estimate a non-linear function that models the bimodal migratory pattern.

Results

image

Fig.1 Network prediction superimposed on data. Data source: Samarasinghe S.[1]. Graphic made by my own.

Blue points correspond to the original data for migration. The orange line is the predicted non-linear function by the neural network with an 1-4-1 architecture, 20,000 epochs and a learning rate of 1.

Case study and data source

[1] Samarasinghe, S. Neural Networks for Applied Sciences and Engineering. From Fundamentals to Complex Pattern Recognition, Auerbach Publications, pp.94-97, 2007.

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