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- parallel gray neural networks 并联型灰色神经网络
- parallel gray neural network 并联灰色神经网络
- This paper lucubrates the gray neural network model (GNNM (1,1))that we have set up,furthermore optimizes and perfectes it. 文章对灰色神经网络模型GNNM(1,1)进行了深入研究,并作了进一步优化和完善。
- A Fault Diagnosis Method Based on AR Parameter Fault Vector and Gray Neural Network 基于AR模型参数向量的灰度神经网络故障诊断方法
- Electricity Forward Price Forecasting Based on Combined Gray Neural Network Model 基于组合灰色神经网络模型的电力远期价格预测
- Combined optiman gray neural network model of the seasonal power load forecasting with the double trends 具有二重趋势性季节型电力负荷预测组合优化灰色神经网络模型
- gray neural networks 灰色神经网络
- composite gray neural network 组合灰色神经网络
- Gray neural network 灰色神经网络
- Neural Networks Horizon Picker Training. 神经网络层位拾取训练。
- Nonlinear ANC Based on RBF Neural Networks? 基于径向基神经网络的非线性自适应除噪
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- Connectionism is the AI that the media really likes, which is why it contains many famous names like Neural Networks and Parallel Processing. 而连接主义在这方面做得更好,这就是为什么很多赫赫有名的系统比如神经网络和并行处理都在这个阵营的原因。
- Multiresolution analysis combined with series and parallel neural network achieve high recognition rate. 应用多分辨分析与串、并联神经网络相结合对目标进行识别获得了较高的识别率。
- Gray compensating RBF neural network-a new kind of combining method of gray system and neural network was given. 摘要给出了灰色系统与神经网络的一种新的结合方式-灰色补偿RBF神经网络。
- Concrete Crack; Neural Network; Gray Theory; Relational degree Analysis; Crake width forecast. 01混凝土裂缝;神经网络;灰色理论;知识表示模式;关联度分析;裂缝宽度预测
- Cellular Neural Network (CNN) is a parallel processor. In the erea of image processing, the CNN has a broad developing space. 细胞神经网络(CNN)是一种并行处理器,在图像处理上有很大的发展空间。
- Artificial Intelligence(AI) Neural Networks(NN) and Fuzzy Systems(FS)have been studied in parallel and have had a measures of success in many areas in the past few decades. 人工智能(AI)、神经网络(NN)和模糊数学(FS)在近几十年中得到了研究,并且在许多领域取得成功。
- Application of artificial neural networks to pattern recognition. 人工神经网络在模式识别中的应用。
- With the parallel structure like the human brain,neural networks can simulate the reaction of brain which is stimulated,and can be applied for MRI segmentation. 神经网络具有类似人脑的并行处理结构,能够模拟人脑对刺激的反应方式进行工作,可以用于解决磁共振图像分割问题。