M. Mbadike Elvis

SN Applied Sciences · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom M. Mbadike Elvis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Paul J. Werbos

Papers from M. Mbadike Elvis's perspective

Ordered by how strongly the researchers M. Mbadike Elvis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modified model of alkali-silica reaction
2. Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic
3. Generalization of backpropagation with application to a recurrent gas market model
4. Modeling of strength of high-performance concrete using artificial neural networks
5. Ash from timber waste as cement replacement material
6. Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments
7. Universal approximation bounds for superpositions of a sigmoidal function
8. Neural Networks: A Comprehensive Foundation
9. Backpropagation Through Time: What It Does and How to Do It
10. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences

Their papers

• Modelling of the mechanical properties of concrete with cement ratio partially replaced by aluminium waste and sawdust ash using artificial neural network (2019) — 82 citations