Computer Science

人工神经网络

Artificial Neural Network

A computational model inspired by the biological neural networks that constitute animal brains. It is a set of algorithms, modeled loosely after the human brain, that is designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input. / 受生物神经网络启发的计算模型。它是一组算法，在某种程度上模仿人脑，旨在识别模式。它们通过机器感知解释感官数据，对原始输入进行标记或聚类。

Knowledge type: 数学理论
First proposed or discovered
Proposer: Turkey Farm member
Creator: 农场主
Last updated: 2026-10-25 17:00:37

Sub-knowledge points

Convolutional Neural Networks / 数学理论 Recurrent Neural Networks / 数学理论BackpropagationGradient Descent

Higher-order knowledge points

Machine learning / 数学理论 Deep Learning / 工艺技术 Artificial Intelligence / 实际应用

Main parameters and performance indicators

Architecture: The network topology (e.g., feedforward, recurrent)Activation Function: Non-linear functions like ReLU or SigmoidLearning Rate: Hyperparameter controlling step size in weight updatesEpochs: Number of complete passes through the training dataset

Open problems

Explainability and interpretability of deep neural networksOptimizing training for very large datasets (Big Data)Handling imbalanced datasets effectivelyReducing computational resource requirements

Related literature

ranked by community stars

Quality assessment and ANN-based shelf-life prediction of ozonated-roasted groundnut kernels stored in different types of packagingOpen source

人工神经网络

Sub-knowledge points

Higher-order knowledge points

Main parameters and performance indicators

Open problems

Related products and links