BPN:反向传播神经网络
“反向传播神经网络”(Back Propagation Neural Network)常被简称为BPN,这种缩写形式便于在计算机和软件相关领域的快速书写与应用。作为一种经典的人工神经网络模型,它通过误差反向传播算法进行训练,广泛应用于模式识别、数据预测和机器学习任务中,是深度学习领域的重要基础结构之一。
Back Propagation Neural Network具体释义
Back Propagation Neural Network的英文发音
例句
- A research on mean annual evaporation interpolation method of Zhejiang province based on back propagation neural network
- 基于BP神经网络的浙江省年平均蒸发量插值方法研究
- Long-Term Runoff Forecast Method Based on Resilient Adaptive Artificial Fish School Algorithm and Back Propagation Neural Network(BPN) Model
- 自适应人工鱼群-BP神经网络算法在径流预测中的应用
- A prediction method based on genetic algorithm ( GA ) and back propagation neural network ( BPNN ) was proposed to solve springback problem of sheet metal after air-bending forming and punch design.
- 为解决金属板材折弯成形的回弹及凸模设计问题,提出了一种基于遗传算法的反向传播神经网络(BPN)预测方法。
- Back propagation neural network to the application of cleaning robot's path planning
- BP神经网络在清洁机器人路径规划中的应用
- This article built a model of three level feed toward back propagation neural network to simulate density change law in Alder and Cypress mixed forest, and compared with traditional model.
- 本文应用人工神经网络方法建立了桤柏混交林密度变化的神经网络模型,并与传统模型进行了比较。
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