Artificial Neural Network forecasting with Categorical Data variables
$30-250 USD
In Progress
Posted about 11 years ago
$30-250 USD
Paid on delivery
I need a website setup for forecasting purposes, based on exclusively Artificial Neural Network forecasting with Categorical Data variables.
I need 2 modes.
1) Continuously valued variables. If you understand engineering, you know what I mean.
2) Discrete data, ie binary data with only 2 values, like 0 or 1.
I need the following types of networks all implemented in:
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1 Feedforward neural network
2 Radial basis function (RBF) network
3 Kohonen self-organizing network
4 Learning Vector Quantization
5 Recurrent neural network
5.1 Fully recurrent network
5.1.1 Hopfield network
5.1.2 Boltzmann machine
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I will provide the data for the forecasting. Most probably climate, river flow, wind energy data to predict certain outcomes in the enviroment or climate or weather.
Prefer someone with a Solid background in Artificial Neural Networks to assist me in setting up the website and algorithms for the forecasting and predictions.
Hi,
I'm a french developper, and researcher. I will be glad to do this project with you.
I have lot of experience in optimization and data mining solution. Programming such NR is quite easy as long as we defined output, input, and training data for error rate minimization process.
An ISO 9001:2006 certified company, We can fulfill your requirement because we are professional worker, we work for our client satisfaction. for more detail please check private message board. Thanks.