Abstract: To introduce deliver configuration handle, it is critical to have the capacity to build up an underlying evaluation of ship parameters to fulfill planner required determinations. For new rising outlines, this gauge has to be made in view of a constrained accessible arrangement of illustrations. In addition, a down to earth evaluate forecast system ought to be sufficiently adaptable having no refinement between info (determined requirements) and yields (parameters required to be assessed), since, these change starting with one outline case then onto the next. Customary relapse based systems which are typically utilized to give the required gauges, experience the ill effects of low precision if there should arise an occurrence of few accessible cases. Notwithstanding that they neglect to catch the interrelation between various plan parameters. To overcome these confinements and others, the present paper proposes another approach in light of an arrangement of simulated neural-systems (ANNs). The new approach conquers relapse constraints as well as equipped for giving a dependable gauge of introductory plan balance table in view of various ANN yields. The paper utilizes a contextual investigation for showing the benefits of the proposed approach.