 This study is a continuation of a previous one by the authors, where they examined mechanical data of alkaline treated natural fibers reinforced plaster using response surface methodology, RSM, statistics in Part 1, and now analyze the same data using artificial neural network, ANN, statistics in Part 2. The study reports ANN statistics data analysis on the mechanical properties of plaster and natural fibers, and compares the findings of both methods. Flexural properties of sodium hydroxide solution, NAOH, treated natural fibers in plaster mortars were investigated, and experimental data effects were established using analysis of variants, ANOVA, method. Fiber length optimization and NAOH percentage treatment of fibers were also performed utilizing desirability function DF to obtain maximum flexural properties. The ANN and RSM models have correlated highly to the experimental data, but the ANN model proves more accurate. This article was authored by Mesa-Luda Ahmed Bailadi and Mastifa Bushak. We are article.tv, links in the description below.