Changtong Luo
YOU?
Author Swipe
View article: Enter the Void - Planning to Seek Entropy When Reward is Scarce
Enter the Void - Planning to Seek Entropy When Reward is Scarce Open
Model-based reinforcement learning (MBRL) offers an intuitive way to increase the sample efficiency of model-free RL methods by simultaneously training a world model that learns to predict the future. These models constitute the large majo…
View article: A quantile regression forest estimate of Greenland’s subglacial topography
A quantile regression forest estimate of Greenland’s subglacial topography Open
Accurate knowledge of basal topography is required for numerical modelling efforts to predict how Earth’s ice sheets will respond to continued warming. The widely used BedMachine v3 dataset has limitations with respect to its use in modell…
View article: KELL: A Kernel-Embedded Local Learning for Data-Intensive Modeling
KELL: A Kernel-Embedded Local Learning for Data-Intensive Modeling Open
Kernel methods are widely used in machine learning. They introduce a nonlinear transformation to achieve a linearization effect: using linear methods to solve nonlinear problems. However, typical kernel methods like Gaussian process regres…
View article: A simple form of Rayleigh pitot tube formula
A simple form of Rayleigh pitot tube formula Open
A brief idea
View article: Divide and Conquer: A Quick Scheme for Symbolic Regression
Divide and Conquer: A Quick Scheme for Symbolic Regression Open
Symbolic regression (SR), as a special machine learning method, can produce mathematical models with explicit expressions. It has received increasing attention in recent years. However, finding a concise, accurate expression is still chall…
View article: Criteria for hypersonic airbreathing propulsion and its experimental verification
Criteria for hypersonic airbreathing propulsion and its experimental verification Open
Hypersonic airbreathing propulsion is one of the top techniques for future aerospace flight, but there are still no practical engines after seventy years' development. Two critical issues are identified to be the barriers for the ramjet-ba…
View article: Fast Modeling Methods for Complex System with Separable Features
Fast Modeling Methods for Complex System with Separable Features Open
Data-driven modeling plays an increasingly important role in different areas of engineering. For most of existing methods, such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large numb…
View article: Fast Modeling Methods for Complex System with Separable Features
Fast Modeling Methods for Complex System with Separable Features Open
Data-driven modeling plays an increasingly important role in different areas of engineering. For most of existing methods, such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large numb…
View article: Elite bases regression: A real-time algorithm for symbolic regression
Elite bases regression: A real-time algorithm for symbolic regression Open
Symbolic regression is an important but challenging research topic in data mining. It can detect the underlying mathematical models. Genetic programming (GP) is one of the most popular methods for symbolic regression. However, its converge…
View article: A multilevel block building algorithm for fast modeling generalized separable systems
A multilevel block building algorithm for fast modeling generalized separable systems Open
Data-driven modeling plays an increasingly important role in different areas of engineering. For most of existing methods, such as genetic programming (GP), the convergence speed might be too slow for large scale problems with a large numb…
View article: A divide and conquer method for symbolic regression
A divide and conquer method for symbolic regression Open
Symbolic regression aims to find a function that best explains the relationship between independent variables and the objective value based on a given set of sample data. Genetic programming (GP) is usually considered as an appropriate met…
View article: Block building programming for symbolic regression
Block building programming for symbolic regression Open
Symbolic regression that aims to detect underlying data-driven models has become increasingly important for industrial data analysis. For most existing algorithms such as genetic programming (GP), the convergence speed might be too slow fo…
View article: Elite Bases Regression: A Real-time Algorithm for Symbolic Regression
Elite Bases Regression: A Real-time Algorithm for Symbolic Regression Open
Symbolic regression is an important but challenging research topic in data mining. It can detect the underlying mathematical models. Genetic programming (GP) is one of the most popular methods for symbolic regression. However, its converge…
View article: Aerodynamic Force Measurements during 100 Milliseconds Test Duration
Aerodynamic Force Measurements during 100 Milliseconds Test Duration Open
Force tests were conducted at the long-duration-test shock tunnel JF12, which has been designed and built in the Institute of Mechanics, Chinese Academy of Sciences. The performance tests demonstrated that this facility is capable of repro…
View article: Force measurement using strain-gauge balance in a shock tunnel with long test duration
Force measurement using strain-gauge balance in a shock tunnel with long test duration Open
Force tests were conducted at the long-duration-test shock tunnel JF12, which has been designed and built in the Institute of Mechanics, Chinese Academy of Sciences. The performance tests demonstrated that this facility is capable of repro…
View article: Multi-dimensional interrelation theory for hypersonic wind-tunnel experimental data and its correlation algorithm
Multi-dimensional interrelation theory for hypersonic wind-tunnel experimental data and its correlation algorithm Open
The progress on the ground to flight data correlation of aerodynamic forces and heat transfer for hypersonic vehicles is reviewed in this paper. The research approach and its limitation of the existing correlation methods are examined and …
View article: Relative contribution ratio: A quantitative metrics for multi-parameter analysis
Relative contribution ratio: A quantitative metrics for multi-parameter analysis Open
In many applications, the objective function is determined by several parameters simultaneously. Properly assessing the relative contribution of each parameter can give the decision maker a better understanding of the problem. However, wid…