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Titlebook: Hilfsbuch für die Elektrotechnik; Karl Strecker Book 1907Latest edition Springer-Verlag Berlin Heidelberg 1907 Elektrotechnik.Technik

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樓主: decoction
51#
發(fā)表于 2025-3-30 10:48:47 | 只看該作者
978-3-662-37344-6Springer-Verlag Berlin Heidelberg 1907
52#
發(fā)表于 2025-3-30 13:13:18 | 只看該作者
53#
發(fā)表于 2025-3-30 18:48:05 | 只看該作者
54#
發(fā)表于 2025-3-30 20:51:58 | 只看該作者
Karl Streckerf particular interest toresearchers, developers and users of computer systems in design. Thisvolume demonstrates both the breadth and depth of artificialintelligence in design and points the way forward for ourunderstanding of design as a process and for the development ofcomputer-based tools to aid
55#
發(fā)表于 2025-3-31 04:48:42 | 只看該作者
Karl StreckerThey are of particular interest toresearchers, developers and users of computer systems in design. Thisvolume demonstrates both the breadth and depth of artificialintelligence in design and points the way forward for ourunderstanding of design as a process and for the development ofcomputer-based tools to aid978-94-010-4400-4978-94-011-0928-4
56#
發(fā)表于 2025-3-31 06:02:59 | 只看該作者
Karl Streckerrticular object that is to be configured. We give a sound CPS calculus, which is complete in the sense, that one can compute solutions to configuration problems if they exist. Our CPS approachhas been implemented in a prototype system as a meta interpreter based on a CLP(R) like system. Our ideas wi
57#
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58#
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Karl Strecker sexual recombination (crossover), and occasional mutation to create offspring. This automated evolutionary process produces both the topology of the circuit and the numerical values for each component. This paper describes how genetic programming can evolve the circuit for a difficult-to-design low
60#
發(fā)表于 2025-3-31 23:08:32 | 只看該作者
Karl Streckeramine many different combinations of ordering processes in an iterative subcycle and to optimize the ordering based on cost, time, and iteration requirements. Two sample test cases are presented to show the effects of optimizing the ordering with a genetic algorithm.
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