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Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

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樓主: miserly
41#
發(fā)表于 2025-3-28 16:29:59 | 只看該作者
Using Hidden Markov Model to Predict Human Actions with Swarm Intelligenceeriments designed in this paper are the classification of human activity using two data sets. The first testing data is from the TUM Kitchen Data Set and the other is the Human Activity Recognition using the Smartphone Data Set from UCI Machine Learning Repository. Based on the comparison of the acc
42#
發(fā)表于 2025-3-28 22:21:29 | 只看該作者
43#
發(fā)表于 2025-3-29 01:09:55 | 只看該作者
H-PSO-LSTM: Hybrid LSTM Trained by PSO for Online Handwriter Identificationeans of solving such problem. More specifically, RNN networks with Long and Short Term Memory (LSTM) represent an ideal mean for writer’s recognition. Intuitively, LSTM networks are based on the gradient method for their learning processes. In addition, an LSTM node presents a complex data processin
44#
發(fā)表于 2025-3-29 06:28:51 | 只看該作者
45#
發(fā)表于 2025-3-29 08:03:08 | 只看該作者
46#
發(fā)表于 2025-3-29 14:25:37 | 只看該作者
47#
發(fā)表于 2025-3-29 19:18:54 | 只看該作者
A Novel Osmosis-Inspired Algorithm for Multiobjective Optimizationhniques, nature-inspired algorithms, for instance, evolutionary algorithms, mimic various natural process and systems and succeed to perform appropriately for hard optimization problems. Besides, in chemistry, osmosis is the natural process of balancing the concentration of two solutions. This proce
48#
發(fā)表于 2025-3-29 23:31:08 | 只看該作者
49#
發(fā)表于 2025-3-30 02:16:12 | 只看該作者
50#
發(fā)表于 2025-3-30 04:26:05 | 只看該作者
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