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Titlebook: Bioinspired Computation in Artificial Systems; International Work-C José Manuel Ferrández Vicente,José Ramón álvarez-S Conference proceedin

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發(fā)表于 2025-3-21 17:42:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bioinspired Computation in Artificial Systems
期刊簡稱International Work-C
影響因子2023José Manuel Ferrández Vicente,José Ramón álvarez-S
視頻videohttp://file.papertrans.cn/188/187252/187252.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Bioinspired Computation in Artificial Systems; International Work-C José Manuel Ferrández Vicente,José Ramón álvarez-S Conference proceedin
影響因子.The two volumes LNCS 9107 and 9108 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, held in Elche, Spain, in June 2015..The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on artificial computation and biology and medicine, addressing topics such as computational neuroscience, neural coding and neuro-informatics, as well as computational foundations and approaches to the study of cognition. The second volume deals with bioinspired computation in artificial systems; topics alluded are bio-inspired circuits and mechanisms, bioinspired programming strategies, and bioinspired engineering AI&KE..
Pindex Conference proceedings 2015
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https://doi.org/10.1007/978-1-349-18646-4. These networks incorporate synaptic delays in their connections which allow greater time reasoning capabilities in the neural controllers, and additionally we incorporated the concept of the center-crossing condition in such networks to facilitate obtaining oscillation patterns for the robotic con
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Khrushchev and Systemic Development,ocessing of a task in a machine has to be assisted by one operator skilled for the task. The JSPSO is a challenging problem because of its high complexity and because it models many real-life situations in production environments. To solve the JSPSO, we propose a genetic algorithm that incorporates
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,The Eastward Movement, 1917–53,Graph-based supervised learning to handle the problem of building Recommendation Systems in Social Networks. Specifically, the main contribution of this paper is to propose two ways to construct Recomendations Systems based on Colaborative Filtering. The first way consists in building a feature matr
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,The Eastward Movement, 1917–53,nce mechanisms have been proposed for this purpose. We focus on the use of dynamic population sizes in the context of island-based multimemetic algorithms, namely memetic algorithms which explicitly represent and evolve memes alongside solutions. These strategies require the eventual creation of new
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