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- This paper presents a fault diagnosis method that an improved BP neutral network model is applied to CNC machine. 提出了一种改进的BP神经网络模型应用于数控机床的故障诊断方法。
- An artificial neutral network model for Taihu Lake ecosystem was developed to improve traditional ecological numerical models. 摘要指出了传统生态学数学模型的不足,并建立了太湖生态系统的人工神经网络模型。
- Through the learning of experimental data, the neutral network model could be used to predict the shrinkage of large CPUE by taking the process parameters as input and product shinkage as output. 通过对实验数据的学习,利用该神经网络模型可以实现以工艺参数为输入,制品收缩率为输出的大型聚氨酯弹性体收缩率的预测。
- double parallel neutral network model 双并联神经网络
- Determination of Expanded Clay with Artificial Neutral Network Model 利用人工神经网络模型判定膨胀土等级
- Application of BP Neutral Network Model in Synthetic Valuation of the Same Kind Weapon 神经网络模型在同类武器装备综合评估中的应用
- Double Parallel Feed-Forward Neutral Network Model for Prediction of Common Concrete Strength 普通混凝土强度预测的双并联前向神经网络模型
- Identification of Fraudulent Financial Reporting with RBF Probability Neutral Network Model 基于概率神经网络的财务舞弊识别模型
- Artificial Neutral Network Model and its Application in Determination of Classification of Expansive Soil 人工神经网络模型及其在膨胀土等级判定中的应用
- Study on a Neutral Network Model and its Application in Predicting the Risk of Rock Blast 岩爆危险性预测的神经网络模型及应用研究
- P2P is a network model rising in recent years. 摘要P2P是一种新近兴起的网络模型。
- neutral network model 神经网络
- The tribological model between TPP and rapeseed oil was established by means of BP neutral network. 应用BP神经网络建立了TPP在菜籽油中的摩擦学模型;
- An error compensation method based on ANN technology is proposed and an error compensation model with neutral network system is set up. 提出了基于人工神经网络技术的机床空间位置误差补偿方法,并建立了神经网络误差补偿模型。
- In this paper,one water quality model was developed using neutral network technology.LM algorithm and RBF algorithm were used to increase predictive precision. 文章通过引入神经网络技术来建立水质预测模型,分别采用LM算法和RBF算法来提高预测的精度。
- The semantic network model proposedby Collins was tested in this stud-y. 本研究对柯林斯等提出的语义层次网络模式进行了检验.
- As a result, CFF value is more precise than subjective fatigue symptom estimated by neutral network. 其结果,使用神经网络推定的闪光融合值精度高于主观疲劳症状。
- The Cayley Neural Network Model:To Recognize 256-Level Color Patterns[J]. 引用该论文 帅建伟;陈振湘;刘瑞堂;吴伯僖.
- The result of simulation shows that SVR is superior to BP Neutral Network in the stability and accuracy. 实验结果表明所提出的方法在预测的稳定性和准确性方面都要优于BP神经网络模型。
- Evaluation of Positive-Complemental optical neural network model[J]. 引用该论文 朱伟利;陈岩松;李德华.