We need to implement in MATLAB a Multilayer Neural Network for predicting the quality of red wines based on physicochemical tests. The quality is a value between 1 and 10; therefore you will treat this as a regression problem – i.e. trying to predict a value between 1 and 10 that is as near as possible to the correct value. You are given a dataset ([login to view URL] and [login to view URL]) consisting of 1000 training and 599 test examples and your aim is to train a network that predicts as closely as possible the values of the test examples. To do this you should try many different settings: different number of hidden units, size of validation examples, normalization type, initial weights, and optionally activation and/or training functions.
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Hi. I am an expert in machine learning. I have many experiences in perceptron coding. I am sure I can do it. We can discuss details via chat. I wait for you now. Thanks.
hi,wintergreen develops projects in prediction like rain prediction and wind speed prediction....by using nn. if you need any clarification kindly contact through chat...thank you ..
I can do this .. you can check the sample cod .. pls search in the google as ‘Data prediction using neural network’ you can get the code in the name of MATLAB mebin .. if any doubts pls contact me ..thank you
I will predict the values using RNN and optimize. I have relevant skill and the this problem appears to be very basis. Shouldn't take a lot of time to complete it.
Hello, I'm a PhD student in machine learning specifically deep learning and image processing, I use both matlab and python in my work, I can find the best neural network to complete the task. Mohamed
we have an expert team for solving machine learning related problems... we have done so many projects according to client desire. Hope we will do you project in given time ....