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AEI
2000
120views more  AEI 2000»
13 years 3 months ago
A neural network approach for a robot task sequencing problem
This paper presents a neural network approach with successful implementation for the robot task-sequencing problem. The problem addresses the sequencing of tasks comprising loadin...
Oded Maimon, Dan Braha, Vineet Seth
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 3 months ago
Traffic Accident Analysis Using Decision Trees and Neural Networks
The costs of fatalities and injuries due to traffic accident have a great impact on society. This paper presents our research to model the severity of injury resulting from traffi...
Miao M. Chong, Ajith Abraham, Marcin Paprzycki
BMCBI
2004
100views more  BMCBI 2004»
13 years 3 months ago
Auto-validation of fluorescent primer extension genotyping assay using signal clustering and neural networks
Background: SNP genotyping typically incorporates a review step to ensure that the genotype calls for a particular SNP are correct. For high-throughput genotyping, such as that pr...
Ching Yu Austin Huang, Joel F. Studebaker, Anton Y...
APIN
2004
116views more  APIN 2004»
13 years 3 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
AI
2002
Springer
13 years 3 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
AI
2002
Springer
13 years 3 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke
JCP
2007
100views more  JCP 2007»
13 years 3 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...
TNN
2008
108views more  TNN 2008»
13 years 3 months ago
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints
This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. Under the condition that the Hessian matrix of the ass...
Youshen Xia, Gang Feng, Jun Wang
TNN
2008
106views more  TNN 2008»
13 years 3 months ago
Stability and Hopf Bifurcation of a General Delayed Recurrent Neural Network
In this paper, stability and bifurcation of a general recurrent neural network with multiple time delays is considered, where all the variables of the network can be regarded as bi...
Wenwu Yu, Jinde Cao, Guanrong Chen
TNN
2008
177views more  TNN 2008»
13 years 3 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal