Akintoye, A

Duff, Roy

Emsley, Margaret

Lowe, David

Parvar, Jamshid

English

Neural networks are information processing systems that can automate semi-structured knowledge domains. Neural networks complement and enhance the capabilities of conventional systems in order to increase productivity in a given domain. Research into the application of neural networks in the construction industry indicates the maturity of the technology and the system development approach. In order to have practical application and contribute to the notion of wealth creation in society, research must be focused on transferring the know-how acquired through research to the industry. The paper recommends involving the end users throughout the system development process, and creating an environment within which direct and indirect learning can be achieved by practitioners. An example of this approach, which develops a decision support system for the decision to bid process, is described and evaluated

The University of Manchester - Institutional Repository

Neural networks as a decision support system for the decision to bid process

Heriot Watt Pure

https://pure.manchester.ac.uk/ws/files/32551603/FULL_TEXT.PDF

Neural networks as a decision support system for the decision to bid process

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The University of Manchester - Institutional Repository

Heriot Watt Pure

Heriot Watt Pure