Titlebook: Intelligent Systems Modeling and Simulation II; Machine Learning, Ne Samsul Ariffin Abdul Karim Book 2022 The Editor(s) (if applicable) and

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Saiful Azmi Husain,Yusra Nor Izzaty Taib,Hasnah Hassan

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3SAT and Fuzzy-HornSAT in Hopfield Neural Network,using a simulated data set. Matlab 2020b was used to train, simulate, and validate the suggested network’s performance. The network for fuzzy-HornSAT and 3SAT was measured using indicators of RMSE, SSE and MAE in the training phase. The energy analysis is also used to compare their robustness by usi

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,Machine Learning Optimization in Computational Advertising—A Systematic Literature Review,ks or deciding the bid price. Little research has been done for optimizing conversions and the bid cost. More importantly, machine learning algorithms are mostly designed for the demand side of the advertisement serving process, leaving the supply side largely under-optimized. The advertising creati

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HornSAT Solver Using Agent-Based Modelling in Hopfield Network,cy in the performance of HornSAT in the Agent-based model, our model provided an additional option to the number of available algorithms that solve HornSAT with an additional user-friendly environment and interface that reduces the bulkiness of the program.

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is), the discussion of variousmodels with matter fields (including magnetic monopoles, the Seiberg-Witten model and dimensional reduction) and the investigation of the structure of the gauge orbit space. The final chapter is devoted to elements of quantum gauge theory including the discussion of the

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Samsul Ariffin Abdul Karimtical Physics, vii. vii Copyright e 1983 by D. Reidel Publishing Company. Lectures given at the Meeting of the Belgian Contact Group on Differential Geometry held at Liege, May 2-3,1980 SIMULTANEOUS DEFORMATIONS OF A LIE ALGEBRA AND ITS MODULES D. Arnal University of Dijon INTRODUCTION We expose her

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