This research introduces a new model of ANGN that captures these three possible communications. In this model, random networks of artificial glia astrocytes are implemented on top of a typical neural network. The networks are tested on two classification problems, and the results show that on ...
1990. Integrated artificial neural networks: components for higher level architectures with new properties. In Neurocomputing: Algorithms, Ar- chitecturesand Applications, NATO Advanced Workshopon Neurocomputing, F. Fogelman and J. Herault, eds., pp. 723-730, Springer-Verlag,Berlin.M. Weinfeld: ...
1) principal components analysis-artificial neural networks 主元分析神经网络2) principal component analysis neural network 主成分分析法神经网络3) PCA neural networks 主分量分析神经网络 1. To present a new classifying system using neural networks,in which modern signal technologies,PCA neural networks...
In this study, Artificial Neural Network (ANN) was applied to predict the cutting force components in turning operations of PEEK CF30 using TiN coated cutting tools under dry conditions where the machining parameters are cutting speed ranges, feed rate, and depth of cut. For this study, the ...
Prediction of pressure drop using artificial neural network for gas non-newtonian liquid flow through piping components. Ind. Eng. Chem. Res. 49, 9423e9429.Bar, N., Bandyopadhyay, T. K., Biswas, M. N., & Das, S. K., Prediction of Pressure Drop Using Artificial Neural Network for ...
A prediction model for population occurrence of paddy stem borer (Scirpophaga incertulas), based on Back Propagation Artificial Neural Network and Principa... Paddy stem borer ( Scirpophaga incertulas) is an important insect pest of rice. Damaged plants wither and the tassels die or become bl...
2000. Develop- ment of a hierarchical classification system with artificial neural networks and FT-IR spectra for the identification of bacteria. Appl ... T Udelhoven,D Naumann,J Schmitt - 《Applied Spectroscopy》 被引量: 122发表: 2000年 Classification of the strain and growth phase of cyanobac...
The use of computational-model trained artificial neural networks to acquire damage specific information from electronic holograms is discussed. A neural network is trained to transform two time-average holograms into a pattern related to the bending-induced-strain distribution of the vibrating component....
OptimusLime/cppnjs - A component for artificial neural networks. OptimusLime/neatjs - NeuroEvolution of Augmenting Topologies (NEAT) algorithm in component. sindresorhus/strip-json-comments - Strip comments from JSON. Lets you use comments in your JSON files! juliangruber/get-user-media - Cross ...
Determination of Active Components in a Natural Herb with Near Infrared Spectroscopy Based on Artificial Neural Networks[J].高等学校化学研究(英文版) 2005.Xuesong, L., Haibin, Q., Yiyu, C.: Determination of Active Components in a Natural Herb with Near Infrared Spectroscopy Based on Artificial ...