Csci2412 (Year) Coursework information part 2
Neural Exercise (worth 20% of module assessment)
For this exercise you must construct a Neural Network using the matlab Neural
Network tool.
The problem that you have to consider is the following:
There is a certain amount of data which has been recorded on patients in a postoperative recovery area during a pilot data gathering exercise. Patients are looked at in
the recovery area and sent to one of three places – the intensive care unit, a general
ward or their home. Hospital management would like to consider whether it is
possible to delegate part of the decision making process to a computer. Consequently
they would like an IT consultant (i.e. you) to assess from the data in the file
RawPostOp.xls whether a neural network would be suitable for making the decision
between home, the general ward and intensive care.
Information on the source and meaning of the data in the file RawPostOp.xls can be
found in PostOp.names.
You should decide on how you will encode the data for submission to a Neural
Network, use an appropriate data manipulation package to implement the encoding
and use the Neural Network tool to investigate the problem. You should then submit a
report (maximum 1200 words) explaining your investigative process with your
recommendations. [Your report should include a (brief) description of the best
network that you managed to obtain together with a measure of its performance on the
appropriate data]
Marking criteria:
Quality of the decision on coding of data and the justification for the chosen methods.
Choice of training and test data.
Network architecture investigation.
Conclusions
All criteria assessed as indicated in the attached mark sheet.
Hand in at student advice centre before 12pm on 20/12/2004.
Keep a record of all interim working on this coursework on the H drive for possible
inspection by the internal or external examiners – include preliminary networks and
all data manipulation activities.
<40
No
working
network
obtained
40-50
Poor
explanation
of decision
process and
wrong
choices
50-60
Poor
explanation
of decision
process but
with many
correct
choices
60-70
Majority of
choices correct
and justified
but not a
comprehensive
solution.
No
working
network
obtained
Major
issues with
the choice
of test data
A well
justified
choice but not
fully explored
Network
No
architecture working
investigation network
obtained
(0.3)
No clear
rationale in
design
Some
problems
with choice
of
training/test
data
Explanation
lacking but
some
investigation
carried out
Conclusions
Perfunctory Limited
exploration
of relevant
issues
Coding of
data
(0.3)
Choice of
training and
test data
(0.3)
(0.1)
No
working
network
obtained
Good process
explanation
with less than
complete
investigation
Relevant
issues
explored but
conclusions
and
exploratory
outcomes at
odds
>70
A well
justified
choice
which is
appropriate
to the
situation in
all cases.
A well
justified
choice
thoroughly
worked
through
A well
explained
process
thoroughly
worked
through
Conclusions
meet with
the
outcomes of
the
investigation
and relevant
issues
explored.