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• W4281569310 abstract "An Intelligent computing has become a basis in all life facilities and is applied in almost all sciences due to accurate results it provides and the reduction in human effort and time, Computer operations have become the basis for investigating the accuracy of the results that are reached, and this does not diminish the importance of the human effort exerted in the laboratories to conduct experiments, select materials, and appropriate working conditions, and on the basis of the principle that the advancement of any nation starts from the accuracy of its products and the exploitation of the capabilities and resources available with the least human effort and the most appropriate cost. This chapter deals with building an optimization model for accurately predicting chemical reactions, since obtaining sensitive data in this field, necessary for training and testing various algorithms, is a challenge. To ensure accuracy and reliability of the source data, we have entered the data ourselves, which are accurate and weighted equations from the sixth-grade textbook. The proposed model consists of five basic stages. The first stage is a process of collecting and preparing data so that it is suitable for the decision-making stage, including data collection that included 100 chemical chains, each chain representing a correct and weighted chemical reaction. The second step is Tokenization that included the process of dividing each chain into segments of different sizes ؤ Token = 1, 2, 3, 4, and 5 according to the periodic table, and storing results in five buffers. The third step included coding those tokens based on their sequence in the periodic table and the buffer number that contained them. The final step included dividing the data into training data (60% of the data volume) and test data (the remaining 40%). The second stage included the process of searching for the best number of pivots by applying one of the selection algorithms called deterministic selection algorithm, as this algorithm depends on the principle of division, arrangement, and selection until the best pivots are found. The third stage involved implementing one of the optimization algorithms called Whale after determining the number of search agents from which to start searching based on the previous step (number of search agent = number of pivots), in order to reduce the search time for predictive optimal chemical reaction outputs. The fourth stage involved the verification of the accuracy of the results of the proposed model named VCR-WOA based on five parameters of the collision matrix, namely accuracy, recall, and precision F and Fb. The results were promising for the training data despite the accuracy of the data and acceptable for the test data. The proposed model was able to reduce the number of calculations and the time required to implement the optimization algorithm compared to the traditional methods that start from random number of search agents." @default.
• W4281569310 created "2022-05-27" @default.
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• W4281569310 date "2022-05-26" @default.
• W4281569310 modified "2023-10-17" @default.
• W4281569310 title "Triple Steps for Verifying Chemical Reaction Based on Deep Whale Optimization Algorithm (VCR-WOA)" @default.
• W4281569310 doi "https://doi.org/10.1201/9781003307822-14" @default.
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