eustachian-tube
发表于 2025-3-30 11:53:24
Christina Middelberg,Julia Törperve accuracy without the need to directly optimize it in the agent’s reward function. In our experiments, we were able to reduce the total number of FLOPS of multiple popular neural network architectures by 5–10., incurring minimal or no performance drop and being on par with the solution found by maximizing the accuracy.
爵士乐
发表于 2025-3-30 14:43:28
Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Caements for computing complexity. The research showed no significant differences in the Monte Carlo approaches and the corresponding neural network methods. In the case of recursive method invocation, the effectiveness increased compared to the base methods.
Meager
发表于 2025-3-30 19:26:34
Viscosity Estimation of Water-PVP Solutions from Droplets Using Artificial Neural Networks and Imagestics to train an Artificial Neural Network model to estimate the viscosity values of the solutions. The proposed model was able to predict the viscosity value of the samples using the characteristics of their droplets with an accuracy of 83.08% on the test dataset.
Permanent
发表于 2025-3-30 23:44:02
http://reply.papertrans.cn/17/1624/162309/162309_54.png
种子
发表于 2025-3-31 04:46:00
https://doi.org/10.1007/978-3-031-42505-9algorithmic game theory and mechanism design; artificial intelligence; evolutionary algorithms; genetic
RLS898
发表于 2025-3-31 08:47:00
978-3-031-42504-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
Legion
发表于 2025-3-31 12:35:08
Artificial Intelligence and Soft Computing978-3-031-42505-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
黄瓜
发表于 2025-3-31 13:32:29
Medikolegale Aspekte im Rettungsdienstre of this paper contains a mathematical explanation for the batch approach, which can be utilized in the GQR algorithm. The final section of the article contains several simulations. They prove the novel approach to be superior to the original GQR algorithm.
高度表
发表于 2025-3-31 19:31:38
Periphere und zentrale Venenzugänge effectively reduce the high computational load of the LM algorithm. The detailed application of proposed methods in the process of learning neural networks is explicitly discussed. Experimental results have been obtained for all proposed methods and they confirm a very good performance of them.
柔声地说
发表于 2025-4-1 00:58:00
http://reply.papertrans.cn/17/1624/162309/162309_60.png