AROMA 发表于 2025-3-30 12:06:00
Evolving by Maximizing the Number of Rules: Complexity Studyponding decision problem is in .. When considering P systems having only two types of objects, and P systems in which a rule is applied at most once, their corresponding decision problems are .-complete. We compare these results with those obtained for . evolution.碳水化合物 发表于 2025-3-30 15:01:38
http://reply.papertrans.cn/64/6304/630353/630353_52.pngPudendal-Nerve 发表于 2025-3-30 18:27:13
Metabolic P System Flux Regulation by Artificial Neural Networks flux tuners by means of neural networks. This methodology, based on backpropagation with weight elimination for neural network training and on an heuristic algorithm for computing tuning indexes, has achieved encouraging results in a synthetic case study.使无效 发表于 2025-3-31 00:15:45
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Conference proceedings 2010urtea de Arges, Romania, during August 24 to 27, 2009 under the auspices of the European Molecular Computing Consortium (EMCC) and the Molecular Computing Task Force of IEEE Computational Intelligence Society...The 22 revised full papers presented together with 10 invited papers went through two rouconformity 发表于 2025-3-31 13:21:58
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