类比法、二分法、量纲分析法、差分法、变分法、图论法、层次分析法、数据拟合法、回归分析法、数学规划（线性规划，非线性规划，整数规划，动态规划，目标规划）、机理分析、排队方法、对策方法、决策方法、模糊评判方法、时间序列方法、灰色理论方法、现代优化算法（禁忌搜索算法，模拟退火算法，遗传算法，神经网络）

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time no

BP(back propagation)神经网络一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络。

BP(back propagation)神经网络一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络。

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time no

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time no

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time no

在机器学习和认知科学领域，人工神经网络（英文：artificialneural network，缩写ANN），简称神经网络（英文：neuralnetwork，缩写NN）或类神经网络，是一种模仿生物神经网络(动物的中枢神经系统，特别是大脑)的结构和功能的数学模型或计算模型，用于对函数进行估计或近似。神经网络由大量的人工神经元联结进行计算。大多数情况下人工神经网络能在外界信息的基础上改变内

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time no