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- W29124670 abstract "IT project management is a highly developed discipline in its own right, and most of the practices of good IT project management apply to neural computing projects. This chapter introduces the features of the development life cycle that are unique to neural computing application development, and describes the implications of these features for project management. Consequently, this chapter supplements normal IT project management practice. Maintaining a neural computing application is also similar to maintaining conventional software. It will involve bug fixing and system enhancement. However, a key difference for neural computing systems is the need to maintain the performance of the system as well as its function. During development, the neural network was trained on data collected from the operating environment, probably over a limited period of time. For some applications, the operating environment will change over time, possibly leading to a reduction of performance. If this possibility is recognized before handover, provision can be made for occasional re-training of the deliverable system. This option should only be exercised in extreme cases and only in close consultation with the designers of the prototype and deliverable systems." @default.
- W29124670 created "2016-06-24" @default.
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- W29124670 date "1998-01-01" @default.
- W29124670 modified "2023-09-27" @default.
- W29124670 title "Managing a neural computing project" @default.
- W29124670 doi "https://doi.org/10.1016/b978-034070589-6/50003-8" @default.
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