To solve these challenges, in this paper, we proposed an end-to-end integrated deep fuzzy-neural network with the unified attention-based semantic-enhanced vision-language approach, called as FuzzSemNIC. To alleviate noises and ambiguities from the extracted visual features,...
2.4.3 Deep Neural Network (DNN) DNN includes multiple hidden layers along with input and output layers [23,26], as shown in Fig. 7. DNN is commonly used for learning complex models and high dimensional data process with the inclusion of more hidden layers and neurons. However, DNN needs ...
This paper introduces a new version of SVM named Deep Decomposition Neural Network Fuzzy SVM (DDNN-FSVM). To this end, we consider an auto-encoder (AE) deep neural network with three layers: input, hidden, and output. Unusually, the AE's hidden layer comprises a number of neurons greater...
(14) 带有自适应判别策略的自组织区间2型模糊神经网络 Self-Organizing Interval Type-2 Fuzzy Neural Network With Adaptive Discriminative Strategy (15) 带有输出迟滞的开关型非线性系统的自适应模糊最优控制 Adaptive Fuzzy Optimal Control for Switched Nonlinear Systems With Output Hysteresis (16) 通过模糊自适应...
We describe the neural network architectures used to achieve person M Serrano,E Ayala,P Melin - Springer Berlin Heidelberg 被引量: 1发表: 2009年 Hybrid CLAHE-CNN Deep Neural Networks for Classifying Lung Diseases from X-ray Acquisitions Chest and lung diseases are among the most serious chronic...
模糊神经网络就是模糊理论同神经网络相结合的产物,它汇集了神经网络与模糊理论的优点,集学习、联想、识别、信息处理于一体。 查看详情 维基百科版本 神经模糊杂交导致混合智能系统通过将模糊系统的类人推理风格与神经网络的学习和连接结构相结合来协同这两种技术。神经模糊杂交在文献中被广泛称为模糊神经网络(FNN)或神经模...
The actor of the agent uses a deep neural network (DNN) model, which encapsulates the navigation policy in terms of hidden units and their associated parameters. As an example, you can directly simulate the actor of the agent to generate an action for a specific observation...
Moreover, the recent advancements in deep learning methodologies showed that the models which use data with multiple modalities often perform better than uni-modal models. Sun et al.8 established this fact by constructing a deep neural network-based model by incorporating multi-omics and clinical ...
Therefore, in order to improve the evaluation efficiency and reduce evaluation the cost of top coal cavability, according to the characteristics of classification evaluation of top coal cavability, this paper improved and optimized the fuzzy neural network developed by Nauck and Kruse and establishes ...
Deep brain stimulation (DBS) has been applied as an effective therapy for treating Parkinson's disease or essential tremor. Several open-loop DBS control s... CF Wang,SH Yang,SH Lin,... - 《Brain Stimulation》 被引量: 0发表: 2017年 ...