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Titlebook: Emerging Intelligent Computing Technology and Applications; 8th International Co De-Shuang Huang,Phalguni Gupta,Prashan Premaratne Conferen

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樓主: affront
51#
發(fā)表于 2025-3-30 11:44:45 | 只看該作者
52#
發(fā)表于 2025-3-30 13:24:40 | 只看該作者
53#
發(fā)表于 2025-3-30 20:23:25 | 只看該作者
54#
發(fā)表于 2025-3-31 00:28:44 | 只看該作者
ACO with Fuzzy Pheromone Laying Mechanismeither only one best ant is allowed to release pheromone, or all the ants are allowed to lay pheromone in the same way. To make full use of ants to explore high quality routes, a fuzzy pheromone laying mechanism is proposed in the paper. The amount of ants that are allowed to lay pheromone varies at
55#
發(fā)表于 2025-3-31 01:51:27 | 只看該作者
Locating Tandem Repeats in Weighted Biological Sequencestempt to locate all the tandem repeats in a weighted sequence. By introducing the idea of equivalence classes in weighted sequences, we identify the tandem repeats of every possible length using an iterative partitioning technique, and present the .(..) time algorithm.
56#
發(fā)表于 2025-3-31 05:18:34 | 只看該作者
Analysis of Flow Field in the Cylinder of Gasoline Engine before and after Being Turbochargednomenon. In this paper, flow field in the cylinder of gasoline engine before and after being turbocharged is simulated instantaneously by numerical simulation. The results show that when the gasoline engine is turbocharged, the air flow in the cylinder is unchanged, which provide the visualization o
57#
發(fā)表于 2025-3-31 12:53:04 | 只看該作者
Spectrum Sensing Algorithms in the Cognitive Radio Networkto sense spectrum holes. This paper focused on the spectrum sensing models and some kinds of spectrum sensing algorithms and their improved algorithms. And attention is concentrated on the performance compare of the different algorithms.
58#
發(fā)表于 2025-3-31 16:22:58 | 只看該作者
Zusammenfassende Bewertung und Ausblicklusions. (1) As long as the penalty coefficient was in the appropriate range, MRNN performed better than pure MLP. (2) MRNN may perform better in difficult classification problems than MLP using weight decay technique.
59#
發(fā)表于 2025-3-31 20:34:12 | 只看該作者
Minimum Risk Neural Networks and Weight Decay Techniquelusions. (1) As long as the penalty coefficient was in the appropriate range, MRNN performed better than pure MLP. (2) MRNN may perform better in difficult classification problems than MLP using weight decay technique.
60#
發(fā)表于 2025-4-1 00:52:13 | 只看該作者
Conference proceedings 2012uly 2012.The 242 revised full papers presented in the three volumes LNCS 7389, LNAI 7390, and CCIS 304 were carefully reviewed and selected from 753 submissions. The papers in this volume (CCIS 304) are organized in topical sections on Neural Networks; Particle Swarm Optimization and Niche Technolog
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