This paper presents the two types of neural network models and prediction algorithms, and studies the time complexity of the two types of network algorithms. The results show that time complexity of the neural network prediction is closely related to its parameters, the neural network structure ...
Maciel, N. Rodriguez, Comparisons between two types of neural networks for manufacturing cost estimation of piping elements, Expert Systems with Applications, 39(2012), 7788-7795.Duran, O.; Maciel, J.; Rodriguez, N. (2012). Comparisons between two types of neural networks for manufacturing ...
In actual use, there are many types of neural networks, and choosing a suitable neural network has an important impact on the machine translation results. As the earliest network structure proposed in the field of neural machine translation, the recurrent neural network is a neural network that ...
Datasets for learning of unknown characteristics of dynamical systems In technical validation, three classifications experiments were conducted using two types of neural networks with long short-term memory modules and ... A Szczsna,D Augustyn,K Harlak,... - 《Scientific Data》 被引量: 0发表:...
A Study of Four Types of Neural Networks with an Error Correction Approach Applied to Predict Wind Speed analyses regarding the wind speed prediction using the proposed four inputs based on a different artificial neural network with an error correction approach... M Madhiarasan,M Louzazni,B Bel...
(CTSNF) is a technique proposed by the authors to improve the accuracy of video action recognition by combining two different types of convolutional neural networks (CNNs) - spatial and temporal networks. In this article, we will explore the CTSNF approach and provide a code example for ...
Two types of new intersection controlstrategies, i.e., one with link-wide congestion measurements and the other based on neural-network approach, were... E Kwon,YJ Stephanedes,X Liu,... - 《Research Report》 被引量: 2发表: 1996年 加载更多来源...
Two modifications of CNN are presented which remove these disadvantages by considering only points close to the boundary. Performance is illustrated by an example. 关键词: Bibliographies Cellular neural networks Computer science Cybernetics Fuzzy control Fuzzy logic Fuzzy set theory Fuzzy sets Minimization...
The chosen system provides a continuous time line from embryonic to adult neurogenesis via two distinguishable cell populations, namely neuroepithelial precursors (NEPs) and radial glia-like neural stem cells (NSCs). We investigated the expression of cell type-specific differentiation markers and iGluR...
We treated the interactions between two nonequilibrium neural networks, each of which possesses memories that are different from those of the other. In this respect, we developed a kind of hetero interaction that is a crucial ingredient for assuring communication.We propose a new learning algorithm...