Neural Network and Fuzzy Sets: An Effective and Optimize Alternative for Damage Assessment

Author(s):

Hrishikesh J. Chithore , Department of Civil Engineering, PRMCEAM, Badnera; Prof. A. B. Ranit, Department of Civil Engineering, PRMCEAM, Badnera

Keywords:

Neural Network, Fuzzy Logic, Conventional Optimization Technique

Abstract:

Appropriate damage assessment procedures are fundamental for making decisions regarding existing structures. For instance, to decide about corrective measures to define risk management strategies. Damage assessment is one of the most challenging problems to solve due to difficulties in defining, assessing and modeling the variables involved and those associated with handling uncertainty. Various methodologies are combination of system theory, neural networks, fuzzy logic and interval theory. Neural networks and fuzzy systems are two soft-computing paradigms for system modeling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization. Structural optimization is a discrete optimization problem which is very hard to solve using conventional optimization techniques. Parametric optimization can be solved using conventional optimization techniques, but the solution may be easily trapped at a bad local optimum.

Other Details:

Manuscript Id	:	IJSTEV5I11001
Published in	:	Volume : 5, Issue : 11
Publication Date	:	01/06/2019
Page(s)	:	1-6

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