neural networks modeling 神经网络建模
GRNN neural networks modeling GRNN神经网络模型
artificial neural networks modeling 神经网络建模
Optical Networks Performance Modeling 光网络性能建模
collagen networks re-modeling 胶原网络重塑
Neural Networks for Process Modeling 过程建模的神经网络
During the process of Bayesian networks modeling, K2 and MCMC algorithms are utilized together.
在贝叶斯网络构造过程中，结合采用K2和MC - MC算法构建网络。
In this paper, current each modeling methods for genetic networks are analyzed, especially the Boolean networks modeling method.
本文分析了目前基因网络建模的各种方法，并着重分析了布尔网络的建模特点。
A new hybrid neural networks modeling approach, named structure approaching hybrid neural network (SAHNN) is presented in this paper.
提出了一种新的混合神经网络建模方法——结构逼近式混合神经网络。
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