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Updated: Jun 12, 2025

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通过响应表面方法学优化真菌的二次代谢物生产,并与多参数优化的人工神经网络模型相结合

Hongjun Shu1, Xiaona Chen1, Qian Jiang1

  • 1Ocean College, Zhejiang University, Zhoushan 316021, China.

Bioresource technology
|September 22, 2024
PubMed
概括

这项研究通过响应表面方法-人工神经网络 (RSM-ANN) 策略优化了真菌的二次代谢物 (SM) 生产. 改进的方法显著提高了价值化合物的产量,如埃奇诺坎丁E和帕拉赫奎米德A.

关键词:
数据分割技术 数据分割技术埃奇诺坎迪因 (echinocandins) 是一种类型.发酵媒介的优化 发酵媒介的优化基因算法 基因算法超启发式算法 超启发式算法帕赫奎米德 (Paraherquamides) 是一种素.

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Response Surface Methodology01:16

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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