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Titlebook: Artificial Neural Networks; Hugh Cartwright Book 2021Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2021 bio

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樓主: FLUX
61#
發(fā)表于 2025-4-1 02:10:59 | 只看該作者
Anwendungen von Femtosekundenlasern,ding code snippets, the main dataset, and the free and open-source modules/packages necessary for full replication of the protocol. The users should be able to develop an HS prediction model with accuracy, precision, recall, and AUROC of 0.96, 0.93, 0.91, and 0.86, respectively.
62#
發(fā)表于 2025-4-1 08:11:06 | 只看該作者
63#
發(fā)表于 2025-4-1 10:34:37 | 只看該作者
Computational Approaches for De Novo Drug Design: Past, Present, and Future,rning methods to drug design. In this chapter, we will give a brief description of these two different de novo methods, compare their application scopes and discuss their possible development in the future.
64#
發(fā)表于 2025-4-1 17:42:06 | 只看該作者
Predicting Hot Spots Using a Deep Neural Network Approach,ding code snippets, the main dataset, and the free and open-source modules/packages necessary for full replication of the protocol. The users should be able to develop an HS prediction model with accuracy, precision, recall, and AUROC of 0.96, 0.93, 0.91, and 0.86, respectively.
65#
發(fā)表于 2025-4-1 18:34:46 | 只看該作者
,A Hybrid Levenberg–Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models,nce. We propose that these fluctuations allow for better sampling. Overall we find it may be beneficial to treat different parts of a neural network with varied computational approaches during optimization.
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