Intelligent Engineering Systems through Artificial Neural Networks
1 A Neural Network Approach to Modeling System Integration Sensitivity for Architectural Assessment
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Performance sensitivity resulting from system integration is a subject commonly left untreated in the system architecting and early systems engineering phases. Ambiguity in the physical architecture often leads system designers to ignore this emergent behavior even though it can greatly alter the intended system performance. New methods of probing integration sensitivity are being researched. These methods employ computationally intensive methods to produce a set of performance predictions based on design variable iterations. There are two shortcomings with this approach. First, the computational intensity of the process limits the capacity to explore a large number of iterations. Second, a concise and...