搜索结果: 1-12 共查到“Neural Network Model”相关记录12条 . 查询时间(0.156 秒)
Neural network model shows why people with autism read facial expressions differently
infantile autism neural network model expression
2021/8/10
People with autism spectrum disorder interpret facial expressions differently. Researchers have revealed more about how this comes to be. They induced abnormalities into a neural network model to expl...
Neural Network Model Assessment for Side-Channel Analysis
Side-Channel Analysis Neural Networks Model Assessment
2019/6/19
Leakage assessment of cryptographic implementations with side-channel analysis relies on two important assumptions: leakage model and the number of side-channel traces. In the context of profiled side...
A neural network model of learning mathematical equivalence
Cognitive development mathematical equivalence problem solving neural network model
2015/6/23
The typical structure of equations influences how we learn the meaning of the equal sign. Previous studies have shown that as students gain experience with addition problems, they actually perform wor...
Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
non-generalized neural network model multi-lead inflow
2011/3/15
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....
Assessment of earthquake-triggered landslide susceptibility in El Salvador based on an Artificial Neural Network model
Assessment earthquake-triggered landslide susceptibility El Salvador based Artificial Neural Network model
2010/10/20
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...
Total ozone time series analysis:a neural network model approach
Total ozone time series analysis neural network model approach
2009/11/11
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...
An artificial neural network model for rainfall forecasting in Bangkok, Thailand
network model rainfall forecasting Thailand
2009/9/11
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 ...
Identification and Classification of Spliced Wool Combed Yarn Joints by Artificial Neural Networks. Part I: Developing an Artificial Neural Network Model
spliced yarn joints wool combed yarn yarn identification joint classification
2009/2/8
A new artificial neural network (ANN) has been created, similar to the ADALINE-type network,
with linear activation function and bubble error sorting, designed to recognise and classify pneumatically...
An Adaptive Neural Network Model for Nonlinear Programming Problems
adaptive neural network canonical neural network
2007/12/11
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...
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...
A neural network model for short term river flow prediction
neural network model short term river flow prediction
2009/12/29
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...
Analysis of DNA Sequence Pattern Using Probabilistic Neural Network Model
Analysis of DNA Sequence Pattern Probabilistic Neural Network Model
2014/3/12
To discover frequently occurring DNA patterns related to inherent diseases or gene regulation associated diseases, we must clarify which sequences interact with transcription factors in genome. A prob...