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ANNs employ nonlinear mathematical models to mimic the human brain's own problem-solving process, by using previously solved examples to build a system of "neurons" that makes new decisions, classifications, and forecasts [ 8].
The solved examples give reasonable and acceptable results.
Two solved examples illustrate the application of the proposed strategy.
Practical and applied solved examples are presented for better understanding of each one of these processes.
This chapter deals with solved examples pertaining to heat transfer and flow in engineering structures.
Several solved examples are presented, together with flowcharts to demonstrate the code-based procedures for design of beam-column sections.
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The first solved example concerns heat transfer through two adjacent walls.
A solved example is presented to demonstrate the use of the design charts.
Whereas worked-out examples consist of a problem formulation, solution steps, and the final solution, solved example problems merely provide the problem formulation and the solution.
In all the solved example systems, the solution vectors that have been previously reported by other authors were localized using our method.
In the solved example, it was observed that incorrect selection from among the available options increased the amount of waste by more than four times.
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CEO of Professional Science Editing for Scientists @ prosciediting.com