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Communications Dissertations
Welcome to the free communications dissertations section. Please remember to use these free dissertations as research material and reference them if you use any quotes in your own dissertation.
Artificial Neural Networks
This dissertation examines and analyzes the use of the Artificial Neural Networks (ANN) to forecast the London Stock Exchange. Specifically the importance of ANN to predict the future trends and value of the financial market is demonstrated. There are several contributions of this study to this area. The first contribution of this study is to find the best subset of the interrelated factors at both local and international levels that affect the London stock exchange from the various input variables to be used in the future studies.
Non-profit versus for-profit organisations
For–profit organisations are meant for maximisation of profit - as it suggests when we say ‘for-profit’ - which goes back to the owner where as non-profit organisations (NPOs) are quite different - they are not, primarily, for ‘profit’. It suggests that there should be a basic difference which makes them stand apart. There are so many arguments by academic researchers and professionals, which are going to be discussed later in this document, in relation to both of these sectors and their boundaries by keeping in view the overlapping developments over the last two decades or so.
While the for-profit organisations have been witnessed participating in voluntary activities and showing altruism, NPOs have also been observed using business management strategies and financial management frameworks for a quite long time. However, academics and professionals argue that though non-profits are involved in financial management and monetary associated models and frameworks but ultimately, unlike for-profits; it is not the end but a means to end. End lies somewhere else which is either not yet decided - for many or rather all of the non-profit organisations - or cannot be decided in the first place (Helmut, 2000; 9).
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