网络释义 1. 人工神经网络模型 (2)人工神经网络模型(Artificial Neural Networks Model) 人工神经网络(Artificial Neural Network, 简称 ANN ), 具有自组织 …bg.panlv.net|基于4个网页 例句 释义: 全部,人工神经网络模型 更多例句筛选 1. This paper investigate the problem of credit risk assessment using an ...
model=models.Sequential()model.add(layers.Conv2D(32,(3,3),activation='relu',input_shape=(28,28,1)))model.add(layers.MaxPooling2D((2,2)))model.add(layers.Conv2D(64,(3,3),activation='relu'))model.add(layers.MaxPooling2D((2,2)))model.add(layers.Conv2D(64,(3,3),activation='relu...
人工神经网络(Artificial Neural Network,ANN)指的是一种基于生物神经元工作原理的数学模型,用于完成一些特定的任务,例如分类、预测、识别和控制等。ANN通常由多层神经元组成,并使用反向传播算法(Back Prop…
Back propagation artificial neural networks (BP-ANN for short) model was applied to evaluate printing color quality. 应用BP人工神经网络模型对印刷色彩质量进行评价。 www.ceps.com.tw 8. Artificial Neural Networks become a hot research with the ability of self-learning, sele-adaptive and self-organiz...
1. The evaluation on the low-flow resource carrying capacity in karst area based on artificial neural network model——A case study in Guiyang City; 基于人工神经网络模型的喀斯特地区枯水资源承载力评价——以贵阳市为例2. Application of artificial neural network model to soil-nail wall support in...
Comparison of the experimental data, empirical correlation and the optimal ANN outputs showed that the optimal Artificial Neural Network model is more accurate. Philippopoulos and Deligiorgi [18] assessed the spatial predictive ability of ANNs to estimate mean hourly wind speed values in Chania City,...
An artificial neural network is a biologically inspired computational model that is patterned after the network of neurons present in the human brain. Artificial neural networks can also be thought of as learning algorithms that model the input-output relationship. Applications of artificial neural netwo...
The parameter optimization for the Eidos brain-state-in-a-box(Eidos BSB) artificial neural network model is considered. By an in-depth analysis to the eigenvalues of the model-connected matrix, it can be found that the network's classification ability relies on the stability and distinction of...
Artificial neural network model for intermediate heat exchanger of nuclear reactor Int. J. Comput. Appl., 1 (2010) Google Scholar [21] D. Maljovec, S. Liu, B. Wang, D. Mandelli, P. Bremer, V. Pascucci, C. Smith Analyzing simulation-based PRA data through traditional and topological cl...
Neural network model We used the machine-learning method to drive structure-activity relationships. The calculations were carried out on a Pentium 2.2 GHz machine using the nnet of the VR 7.2 package [34] for feed-forward neural networks with a single hidden layer and for multinomial log-linear...