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Neural Networks

$30-100 USD

Closed
Posted over 16 years ago

$30-100 USD

Paid on delivery
Description 1-Implement the perceptron learning algorithm for 2 inputs and show graphically how the separating line adjusts its position in the plane during weight updates (animation!). [login to view URL] how the perceptron successfully learns to distinguish linearly separable data sets. [login to view URL] how the perceptrons fails to successfully learn to distinguish linearly non-separable data sets. 2-Implement the basic error backpropagation algorithm for multilayer perceptrons. For testing purposes, choose as a training and test set a unit circle and a two-class problem ‘inside the circle’ and ‘outside the circle’ and give a graphical representation of the decision surface, the training data as well as test points. Be very careful when implementing the algorithm; code for neural networks is notoriously difficult to debug! 3-There exists a database on the Internet with real world data for machine learning; you can access the database at [login to view URL] Choose one data set you like and run your neural network program on it. Report statistically significant results. 4-Implement weight decay as a technique for improving the generalization performance of trained networks. 5-Using your Implementation of the basic error backpropagation algorithm for multilayer perceptrons (or a downloaded version of the program if your own code did not work), to show how prior knowledge can be used to initialize a neural network prior to training and what the effects that prior knowledge has on training and generalization performances. Use a toy problem to demonstrate that your network trains faster with prior knowledge compared to training without prior initialization. 6-You will apply the methodology of knowledge-based neural networks discussed in class to a real-world problem from molecular biology. The text that gives further details on the methodology and the application is attached. There exists a database on the Internet with real world data for machine learning; you can access the database for this project at ftp://[login to view URL] Run your neural network program on it and report statistically significant results.
Project ID: 207823

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1 proposal
Remote project
Active 16 yrs ago

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Hello mrtcnr! Neural network expert here! Let me do it for you. Please check PM. No problem at all. We can start asap!
$30 USD in 5 days
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guzelyurt, Turkey
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Member since Dec 27, 2007

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