Neural engineering in management application

Describes the concept of neural engineering which supports decision-making in the systematic construction of neural networks. We gave some guidelines on building neural networks tailored to a specific applications, such as: what is the optimal number of hidden nodes, how to prune the input nodes, segregation and transformation of data etc. Experiments were carried on cost estimation using a multi-layer perceptron (backpropagation algorithm).