May 2, 2024 · This paper proposes the application of the grey neural network modeling method for launch vehicle cost estimation, integrating the principles of the grey ...
A cost estimation method for launch vehicles is proposed combining the concepts of machine learning, aims to provide assistance in strategic decision-making ...
For the estimation, both spectral and spatial cues from the multichannel input can be used. However, the interplay of the two inside the neural network is ...
This paper adopts a hybrid method combining a grey relational analysis, Lasso regression, and Backpropagation Neural Network (GAR-LASSO-BPNN).
Missing: Launch | Show results with:Launch
The grey theory is introduced to estimate the cost of repairing about unmanned air vehicle by using the model GM (1,1). The result of the estimation is quite ...
This work presents a method based on Moving Horizon Estimation (MHE) for simultaneous state estimation and training of a black-box submodel, such as a neural ...
Missing: Launch Vehicle
Jun 21, 2024 · The neural moving horizon estimator (NMHE) is a relatively new and powerful state estimator that combines the strengths of neural networks (NNs) and model- ...
This study presents the neural ordinary differential equation multivariate grey model (NMGM), a new multivariate grey model that aims to enhance the precision ...
The research presented in this paper develops a set of Cost Estimating Relationships (CERs) that require only basic information from the system sizing tools.
Missing: Grey | Show results with:Grey
In order to avoid investment loss, a method of project cost prediction for building complex based on gray BP neural network model is designed. The construction ...
Missing: Launch | Show results with:Launch