BP neural network statistics
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BP neural network specifications
Information
| Unique identifier | OMICS_27200 |
|---|---|
| Name | BP neural network |
| Software type | Package/Module |
| Interface | Command line interface |
| Restrictions to use | None |
| Operating system | Unix/Linux, Mac OS, Windows |
| Programming languages | R |
| Computer skills | Advanced |
| Stability | Stable |
| Maintained | Yes |
Versioning
No version available
Maintainer
- person_outline Qi Guo
Publication for BP neural network
Design and application of tumor prediction model based on statistical method<sup/>.
BP neural network citations
(172)Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network
[…] e unknown sample is classified as healthy subject; if the output vector approximates to − 1, the unknown sample is classified as hyperviscosity subject. In this paper, a three-layer back-propagation (BP) neural network is used. According to empirical formula, the optimal number of neurons in hidden layer is determined by n+m+a []. Here, n is the number of the input layer neurons, namely, equal to […]
Attentional Bias in Human Category Learning: The Case of Deep Learning
[…] ried, but see footnote 1 for more details; Hanson and Gluck, ; Kruschke, ; Kurtz, ). That is, the BP network failed to categorize in the way humans do. This result shed doubt on the usefulness of the BP neural network and neural networks more generally as an adequate model for human attentional bias. This result consequently caused researchers to turn to various modifications of BP networks in the […]
Recognition of Broken Wire Rope Based on Remanence using EEMD and Wavelet Methods
[…] In this paper, a BP neural network was used to train a classifier that could export the number of broken wires. After extracting the features of a defect image, a three-layer BP neural network was trained to identify […]
Influence of Vehicle Speed on the Characteristics of Driver’s Eye Movement at a Highway Tunnel Entrance during Day and Night Conditions: A Pilot Study
[…] tunnel entrance is much lower than inside of the tunnel. Zhao et al. [] used nine drivers to study visual information perception and variation during daytime and simulated visual feature variation by BP Neural Network. The experimental data of this study showed that fixation duration and saccade amplitude decreased gradually before tunnel entrance and increased first after entering the entrance an […]
Prediction of influenza like illness based on the improved artificial tree algorithm and artificial neural network
[…] First, we use the basic BP neural network for prediction to revise some missing data. We perform ten times and take the corresponding prediction of the missing data with the minimum MAPE. For example, The Twitter data for re […]
Ontology Based Method for Fault Diagnosis of Loaders
[…] ng the production process knowledge of workshops based on the IDEF5 method which has disadvantages in technical support. Zhou Yong [] constructed an improved ontology model based on machine learning (BP neural network) which changed the mode of multi strategy merging in ontology mapping. S. Chaware et al. [] integrated METHONTOLOGY and SENSUS to construct an ontology model for the shopping mall do […]
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