Sunday afternoon

Tried to work out how the dialog editor works but there is no mention of it in the help files. It would have been good to enter the patient data using a custom form but I haven't the time to waste trying to sort this out.

Had a read through a tutorial with flex which explained that putting the numbers in between ' would treat them as atoms not as numbers. I have adjusted the code and the program now runs fine.

group no_involved_nodes '0-2', '3-5', '6-8', '18+'.

question involved_nodes
how many involved_nodes are there ? ;
choose from no_involved_nodes.

Sunday 15th July

I thought I'd posted something during the week. I have been working through a series of experiments with a multi-layer perceptron. I have been looking at the number of hidden layer neurons, the number of training cycles and the score tool threshold. I have noticed that the networks performance never gives a score of more than 48% no matter how many training cycles are defined.

I have switched my attention to the knowledge based system. I have been having trouble with Flex because I was using questions with the answers in groups but the answers were numbers and I couldn't get flex to treat them as just text for the purposes of these questions. I have therefore developed questions in a different way. I will test this shortly.

Monday 09/07/2007

After a fustrating day yesterday because Window Vista doesn't seem to let neuralworks write the results files out, I reverted to using Windows XP on a different PC. I tested a 32 Input layer, 15 hidden layer and 2 output layer MLP with the full 285 patients after training the network. I then adjusted the score tool threshold to find an optimum but this wasn't as simple as I thought. As the threshold was raised generally the network performed more poorly and this was reflected in the statistical analysis and the overall score. However when the threshold reached 0.9 though by most measures of performance the network performed more poorly the positive predictive value of the network improved. I checked the calculation of this value but it looks correct so I can only assume that it is probably a statistical anomaly. I may test the score tool threshold further with different network configurations but

Sunday 1st July

Picked up last TMA result. I did about as well as I expected. Have been experimenting with my neural network. Have made up a large spreadsheet to log the results. I have enhanced the score tool to calculate the false positive and false negative rate. I hope to modify it further to include the positive predictive value and the sensitivity as these are well defined measures of the performance of the neural network and allow comparison with other methods of classifying data such as that used here. I've run a few experiments and the network is working though at this stage not very well.

Three weeks till hols so not much time.

Tuesday 5th June

Another TMA day. The word count is very restrictive. I've tried but I can't get it near the 800 words per question. Almost done. Will submit tomorrow.

Monday 4th June

Answered question 1 a of TMA o2. Realised in answering 1 b that my literature search was rather crap but I'll answer as best I can and continue to search for more information as the project progresses. For all the searching I have done on IEEE Xplore etc the papers I have found are rather high powered and quickly lose me when they delve into mathematical formulae. I have found general sites like Wikipedia far more interesting and useful.

Sunday Evening

Ran a very rudimentary flex program with one rule but at least it worked and it's a start. I loathe using flex but I've got to get to grips with it. I've started from the boiler example in T396 and it works so I'll just work through the examples I've got gradually till I get to an object based program using certainty factors. I may yet try another way of handling uncertainty in the data.

Now back to the TMA.