- Simple Alternative to Neural Networks for Predicting Sublimation ...🔍
- Simple Alternative to Neural Networks for Predicting ...🔍
- Simple yet accurate prediction method for sublimation enthalpies of ...🔍
- Predicting the Enthalpy and Gibbs Energy of Sublimation by QSPR ...🔍
- Data|efficient fine|tuning of foundational models for first|principles ...🔍
- A new molecular|based model for prediction of enthalpy of ...🔍
- Sublimation temperature prediction of OLED materials🔍
- Practical feature filter strategy to machine learning for small datasets ...🔍
Simple Alternative to Neural Networks for Predicting Sublimation ...
Simple Alternative to Neural Networks for Predicting Sublimation ...
Abstract ... Taking advantage of an extended data set of sublimation enthalpies recently used to develop an artificial neural network for the ...
Simple Alternative to Neural Networks for Predicting Sublimation ...
Request PDF | Simple Alternative to Neural Networks for Predicting Sublimation Enthalpies from Fragment Contributions | Taking advantage of an extended data ...
Simple Alternative to Neural Networks for Predicting Sublimation ...
Taking advantage of an extended data set of sublimation enthalpies recently used to develop an artificial neural network for the prediction of this property ...
Simple Alternative to Neural Networks for Predicting ... - ACS Figshare
Simple Alternative to Neural Networks for Predicting Sublimation Enthalpies from Fragment Contributions.
Simple yet accurate prediction method for sublimation enthalpies of ...
They also reported insignificant statistics improvement by a three-layer feed-forward neural network (FFNN) method based on the MLR descriptors obtained. Lastly ...
Predicting the Enthalpy and Gibbs Energy of Sublimation by QSPR ...
Simple alternative to neural networks for predicting sublimation enthalpies from fragment contributions. Ind. Eng. Chem. Res. 2012;51:2814 ...
(PDF) Correction to Capturing the Crystal: Prediction of Enthalpy of ...
Simple Alternative to Neural Networks for Predicting Sublimation Enthalpies from Fragment Contributions ... A group contribution (GC) method is ...
Data-efficient fine-tuning of foundational models for first-principles ...
Although possible in theory, predicting sublimation enthalpies with ... (2010) , and artificial Behler and Parrinello (2007) or deep neural ...
A new molecular-based model for prediction of enthalpy of ...
[1] used neural networks, theoretical crystal packing calculations, and multi-linear regression for prediction of enthalpy of sublimation for a set of 62 ...
In a similar fashion, it can be seen that the Neural Nets do receive the rating of good (△) when it comes to ability to extract linear combinations of ...
Practical feature filter strategy to machine learning for small datasets ...
Based on the above preselection of features, we develop ML models to predict sublimation enthalpies, using MAE, RMSE and R-Squared (\hbox {R}^2) ...
Neural networks: what are the alternatives? - TuringBot
Neural networks are by far the most popular machine learning method. They are capable of automatically learning hidden features from input data before computing ...
De-Risking Early-Stage Drug Development With a Bespoke Lattice ...
Simple alternative to neural networks for predicting sublimation enthalpies from fragment contributions. Ind Eng Chem Res. 2012; 51: 2814-2819. View in ...
Prediction of Enthalpy of Sublimation, Crystal Lattice Energy, and ...
Simple alternative to neural networks for predicting sublimation enthalpies from fragment contributions. Ind. Eng. Chem. Res. 2012, 51 (6), 2814−2819. (21) ...
Predicting the Enthalpy and Gibbs Energy of Sublimation by QSPR ...
Prediction of skin penetration using artificial neural network ... Simple alternative to neural networks for predicting sublimation enthalpies from fragment ...
Norinder, Niklas - Sublimation temperature prediction of ... - OATD
Sublimation temperature prediction ... In a similar fashion, it can be seen that the Neural Nets ... Convolutional Neural Networks Predicting chemical motifs.
Coupling complementary strategy to flexible graph neural network ...
With the complementary feature proposed, we accordingly construct a flexible graph neural network-based co-crystal prediction model named as ...
A suitable computer code for prediction of sublimation energy and ...
Important aspects of sensitivity of energetic compounds: a simple novel approach to predict ... Simple alternative to neural networks for predicting sublimation ...
Are neural networks better than SVMs? - Cross Validated
So far I have seen that neural networks tend to provide the best predictive results among machine learning alternatives. ... nets is very simple ...
a transparent alternative to neural networks - State Street
Many prediction tasks in economics and finance involve complicated relationships that lie beyond the reach of linear regression analysis.