Changhua Yu

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 2

Top Topics

Neural Network Training

Training Algorithm

Sequence Databases

Experimentally Determined

Top Venues

Appl. Math. Comput.

Nucleic Acids Res.

Neural Process. Lett.

Publications

John-Marc Chandonia, Lindsey Guan, Shiangyi Lin, Changhua Yu, Naomi K. Fox, Steven E. Brenner
SCOPe: improvements to the structural classification of proteins - extended database to facilitate variant interpretation and machine learning. Nucleic Acids Res. 50 (D1) (2022)
Melvin Deloyd Robinson, Michael T. Manry, Sanjeev S. Malalur, Changhua Yu
Properties of a Batch Training Algorithm for Feedforward Networks. Neural Process. Lett. 45 (3) (2017)
Changhua Yu, Yanhe Wang, Yonghai Li
The finite volume element methods for Poisson equation based on Adini's element. Appl. Math. Comput. 219 (10) (2013)
Changhua Yu, Yonghai Li
Biquadratic finite volume element methods based on optimal stress points for parabolic problems. J. Comput. Appl. Math. 236 (6) (2011)
Hema Chandrasekaran, Jiang Li, Walter H. Delashmit, Pramod Lakshmi Narasimha, Changhua Yu, Michael T. Manry
Convergent design of piecewise linear neural networks. Neurocomputing 70 (4-6) (2007)
Jiang Li, Michael T. Manry, Pramod Lakshmi Narasimha, Changhua Yu
Feature Selection Using a Piecewise Linear Network. IEEE Trans. Neural Networks 17 (5) (2006)
Changhua Yu, Michael T. Manry, Jiang Li, Pramod Lakshmi Narasimha
An efficient hidden layer training method for the multilayer perceptron. Neurocomputing 70 (1-3) (2006)
Changhua Yu, Michael T. Manry, Jiang Li
Effects Of Nonsingular Preprocessing On Feedforward Network Training. Int. J. Pattern Recognit. Artif. Intell. 19 (2) (2005)
R. G. Gore, Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei
Iterative Design of Neural Network Classifiers Through Regression. Int. J. Artif. Intell. Tools 14 (1-2) (2005)
Pramod Lakshmi Narasimha, Michael T. Manry, Changhua Yu
Nonlinear Network Time-Series Forecasting Using Redundancy Reduction. FLAIRS Conference (2005)
Changhua Yu, Michael T. Manry, Pramod Lakshmi Narasimha
Sensitivity of Nonlinear Network Training to Affine Transformed Inputs. FLAIRS Conference (2005)
Jiang Li, Michael T. Manry, Changhua Yu, D. Randall Wilson
Prototype Classifier Design with Pruning. Int. J. Artif. Intell. Tools 14 (1-2) (2005)
Changhua Yu, Michael T. Manry, Jiang Li
Hidden Layer Training via Hessian Matrix Information. FLAIRS Conference (2004)
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei
Iterative Improvement of Neural Classifiers. FLAIRS Conference (2004)
Changhua Yu, Michael T. Manry, Jiang Li
Invariance of MLP Training to Input Feature De-correlation. FLAIRS Conference (2004)
Jiang Li, Michael T. Manry, Changhua Yu
Prototype Based Classifier Design with Pruning. FLAIRS Conference (2004)