Course Project

In the course work you will carry out a small project, using the techniques that you have

learnt, to tackle a practical technological problem. You will be asked to investigate the

learning algorithms such as BP$,$ RBF$,$ SOM, FIS, GA$,$ PSO and SVM$,$ etc. You will be

expected to develop your own algorithm to solve a real problem, using the packages

supplied in Matlab, Python or other languages, and to write a project report.

Design an intelligent computing model $($using ANN, Fuzzy logic, EC or SVM$)$ on the

basis of real engineering data, to solve an engineering problem $($e$.$g$.$ prediction,

optimization, classification, etc.$)$

You are encouraged to use real engineering data to solve real problems.

In the work, you should take the following points into account:

Reproducibility

Don't claim things without references or other evidence

Analysis of results

More important to clearly present your ideas on how things should be solved,

than to actually have succeeded $($had time to$)$ solving them!

A failed experiment is not a failed project! Failed experiments can be analyzed

and learnt from $($and written about$)$

Suggest future work $/$ extensions

Note:

Source code is needed for results reproduction.

The report can be written in English.

Please strictly follow the format of IEEE Transactions.