multilayer perceptron (mlp) (MathWorks Inc)
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90
Structured Review
MathWorks Inc
multilayer perceptron (mlp)
Multilayer Perceptron (Mlp), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/multilayer+perceptron+(mlp)/pmc11674357-196-15-19
Average 90 stars, based on 1 article reviews
Multilayer Perceptron (Mlp), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/multilayer+perceptron+(mlp)/pmc11674357-196-15-19
Average 90 stars, based on 1 article reviews
multilayer perceptron (mlp) - by Bioz Stars,
2026-11
90/100 stars
Images
1) Product Images from "Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review"
Article Title: Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review
Journal: BMC Cancer
doi: 10.1186/s12885-024-13320-4
Figure Legend Snippet: Summary of all articles
Techniques Used: Expressing, DNA Methylation Assay, Plasmid Preparation, Gene Expression, Methylation, Biomarker Discovery, Imaging, Mutagenesis, Functional Assay
Related Articles
other:Article Title: Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review Article Snippet: Baid et al. [ ] 2020 , Radiomics features , OS time in days , Article Title: Design of Miniaturized 90-Degree Hybrid Coupler with Wide Rejection Band Using Neural Network Article Snippet: In the design of the proposed miniaturized 90-degree hybrid coupler, a feedforward multilayer perceptron (MLP) network was utilized, structured, and implemented using Article Title: Neural Network-Enabled Multiparametric Impedance Signal Templating for High throughput Single-Cell Deformability Cytometry Under Viscoelastic Extensional Flows. Article Snippet: Neural Network and Machine Learning Implementation: A Multilayer Perceptron (MLP) neural network, configured with 30 hidden Article Title: Forecasting Aerodynamic Coefficients of Bi-Axial Symmetric C Plan-Shaped Tall Buildings Using ANFIS Article Snippet: The construction of the Multilayer Perceptron (MLP) neural network is executed within Article Title: Intelligent model and optimization of ultrasound-assisted extraction of antioxidants and amylase enzyme from Gnaphalium affine D. Don. Article Snippet: The study uses ultrasound-assisted extraction to recovery the antioxidant and amylase enzyme from Gnaphalium affine D. Don, namely “chewcut” in Thailand.. The study involves two statistical methods: artificial neural networks (ANN) and response surface methodology (RSM) to model and optimize extraction procedure for improving the yield of antioxidant and amylase enzyme activity (AEA).. Both RSM and ANN showed the potential to predict and find the optimal extraction conditions. Article Title: Neural Network‐Enabled Multiparametric Impedance Signal Templating for High throughput Single‐Cell Deformability Cytometry Under Viscoelastic Extensional Flows Article Snippet: A Multilayer Perceptron (MLP) neural network, configured with 30 hidden Activity Assay:Article Title: Statistical versus neural network-embedded swarm intelligence optimization of a metallo-neutral-protease production: activity kinetics and food industry applications. Article Snippet: An integrated approach involving response surface methodology (RSM) and artificial neural network-ant-colony hybrid optimization (ANN-ACO) was adopted to develop a bioprocess medium to increase the yield of Bacillus cereus neutral protease under submerged fermentation conditions.. The ANN-ACO model was comparatively superior (predicted r2 = 98.5%, mean squared error [MSE] = 0.0353) to RSM model (predicted r2 = 86.4%, MSE = 23.85) in predictive capability arising from its low performance error.. The hybrid model recommended a medium containing (gL−1) molasses 45.00, urea 9.81, casein 25.45, Ca2+ 1.23, Zn2+ 0.021, Mn2+ 0.020, and 4.45% (vv−1) inoculum, for a 6.75-fold increase in protease activity from a baseline of 76.63 UmL−1. |
