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Artificial neural networks (ANN) have been found efficient, particularly in problems where characteristics of the processes are stochastic and difficult to describe using explicit mathematical models....
A network model with structured nodes     network model  structured nodes       font style='font-size:12px;'> 2010/11/17
We present a network model in which words over a specific alphabet, called {\it structures}, are associated to each node and undirected edges are added depending on some distance between different st...
This paper presents an approach for assessing earthquake-triggered landslide susceptibility using artificial neural networks (ANNs). The computational method used for the training process is a back-pr...
Continuous-time quantum walks on the threshold network model     quantum walks  threshold network model       font style='font-size:12px;'> 2010/3/10
It is well known that many real world networks have the power-law degree distribution (scale-free property). However there are no rigorous results for continuous-time quantum walks on such realistic g...
This work is focused on the application of neural network based models to the analysis of total ozone (TO) time series. Processes that affect total ozone are extremely non linear, especially at the co...
Applicability of a nonlinear version of the watershed bounded network model (WBNM) for large basins namely Shellbyville (1,246 km2), Columbia (3,129 km2), Centreville (5,304 kmz) and Hurricane Mills...
This paper presents a new approach using an Artificial Neural Network technique to improve rainfall forecast performance. A real world case study was set up in Bangkok; 4 years of hourly data from 75 ...
A model for the growth of weighted networks is proposed. The model is based on the edge preferential selection. By the master equation approach, the distributions of strength, weight and degree are pr...
In this paper a canonicalneural network with adaptively changing synaptic weights and activation function parameters is presented to solve general nonlinear programming problems. The basic part of the...
Prodicting Chain Dimensions from an Artificial Neural Network Model           font style='font-size:12px;'> 2007/7/28
期刊信息 篇名 Prodicting Chain Dimensions from an Artificial Neural Network Model 语种 英文 撰写或编译 作者 Zhang Linxi(章林溪)等 第一作者单位 刊物名称 J.Polym.Sci.Part B,Polym Phys. 页面 2000,Vol.38,3163-3168 出版日期 2000年 月 日 文章标识(ISS...
This paper presents a model using rain gauge and weather radar data to predict the runoff of a small alpine catchment in Austria. The gapless spatial coverage of the radar is important to detect small...

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