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Titlebook: Artificial Intelligence Applications and Innovations; 6th IFIP WG 12.5 Int Harris Papadopoulos,Andreas S. Andreou,Max Bramer Conference pro

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楼主: Clinical-Trial
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Mathematical Aesthetic Judgementsen though in the last four decades several PSSP algorithms have been proposed, we are far from being accurate. The Bidirectional Recurrent Neural Network (BRNN) architecture of Baldi et al. [1] is currently considered as one of the optimal computational neural network type architectures for addressi
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One-Dimensional Linear Local Prototypes for Effective Selection of Neuro-Fuzzy Sugeno Model Initial ffective technique allowing to remove irrelevant inputs, choose a number of membership functions for each input, propose well estimated starting values of membership functions and consequent parameters. All this will make the fuzzy model more concise and transparent. The final training procedure will be shorter and more effective.
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Harris Papadopoulos,Andreas S. Andreou,Max BramerState-of-the-art research.Fast-track conference proceedings.Unique visibility
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A Generic Tool for Building Fuzzy Cognitive Map Systemslteration of the final results and make new conclusions. The system is introduced and demonstrated using a simple real case. The results of a usability test of the system suggest that the system is capable of simulating complicated FCM structures in an effective manner, helping the user to reduce the degree of risks during decision making.
发表于 2025-3-26 04:28:01 | 显示全部楼层
Automatically Designing Robot Controllers and Sensor Morphology with Genetic Programmings, offering a sound basis for learning more complex behaviour. The evolved controller is successfully applied to real environments as well. Finally, controller and sensor morphology are co-evolved, clearly resulting in an improved sensor configuration.
发表于 2025-3-26 09:45:57 | 显示全部楼层
Efficiency and Robustness of Three Metaheuristics in the Framework of Structural Optimization is performed with reference to their efficiency (overall computing demands) and robustness (capability to detect near-optimal solutions). The optimum design of a real-world overhead traveling crane is used as the test bed application for conducting optimization test runs.
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