Titlebook: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms; Muhammet Ünal,Ayça Ak,Hasan Erdal Book 2013 Springer-Verlag Berli

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Artificial Neural Networks,s. Artificial neural networks have been developed as generalizations of mathematical models of human cognition or neural biology [16]. The basic processing elements of neural networks are called neurons. Neuron performs as summing and nonlinear mapping junctions. In some cases they can be considered

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Genetic Algorithm,etics. In general, any iterative, population based approach that uses selection and random variation to generate new solutions can be regarded as an EA. The evolutionary algorithms field has its origins in four landmark evolutionary approaches: evolutionary programming (EP), evolution strategies (ES

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An Application for Process System Control,ous exhaust output flowing as a disturbance. Because of compressibility of air and nonlinear characteristic of valves, realized system has nonlinear dynamics. Cubic trajectory function was used as an input reference signal, to prevent the pressure fluctuations and large overshoot in tank which could

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https://doi.org/10.1007/978-3-322-89477-9entical, but different primary structures have been reported for guinea pig, avian, and piscine glucagons. The present chapter will summarize the production of glucagon, its pharmaceutical preparations, the physicochemical and bioassay methods available for its measurement, and the factors affecting its stability and timing of action.

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Crypto-Steganographic Validity for Additive Manufacturing (3D Printing) Design Fileses in STL file encoding and applies basic cryptography to generate a mark that is detectable if illegally modified. While deforming watermarks for 3D-printed objects have been explored, our approach is the first to watermark STL files without affecting the manufactured geometry – a prerequisite for safety-critical functional parts.

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