Martin Hagan - Publications, H-index & Citations

Martin Hagan

oklahoma state university system

25H指数

119论文数

1.8W被引数

收录论文 14

发表时间

Comparison of neural network NARX and NARMAX models for multi-step prediction using simulated and experimental data

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2024-03-01

PREAI

Kelley, Joseph; Hagan, Martin T.

New Fault Diagnosis Procedure and Demonstration on Hydraulic Servo-Motor for Single Faults

IEEE-ASME TRANSACTIONS ON MECHATRONICS

IF7.3

2020-06-01

PREAI

Kelley, Joseph; Hagan, Martin

Forward and Converse Lyapunov Theorems for Discrete Dynamical Systems

IEEE TRANSACTIONS ON AUTOMATIC CONTROL

IF7

2014-09-01

PREAI

Jafari, Reza; Kable, Anthony; Hagan, Martin

Error Surface of Recurrent Neural Networks

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

IF8.9

2013-11-01

PREAI

Manh Cong Phan; Hagan, Martin T.

Input vector optimization of feed-forward neural networks for fitting ab initio potential-energy databases

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2010-05-28

PREAI

Malshe, M.; Raff, L. M.; Hagan, M.; Bukkapatnam, S.; Komanduri, R.

Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree-Fock energies, and small subsets of the database

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2009-09-30

PREAI

Malshe, M.; Pukrittayakamee, A.; Raff, L. M.; Hagan, M.; Bukkapatnam, S.; Komanduri, R.

Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2009-05-11

PREAI

Malshe, M.; Narulkar, R.; Raff, L. M.; Hagan, M.; Bukkapatnam, S.; Agrawal, P. M.; Komanduri, R.

Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks 使用前馈神经网络同时拟合势能表面及其相应的力场

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2009-04-01

117

PREAI

Pukrittayakamee, A.; Malshe, M.; Hagan, M.; Raff, L. M.; Narulkar, R.; Bukkapatnum, S.; Komanduri, R.

Parametrization of analytic interatomic potential functions using neural networks

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2008-07-30

PREAI

Malshe, M.; Narulkar, R.; Raff, L. M.; Hagan, M.; Bukkapatnam, S.; Komanduri, R.

Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feedforward neural networks.: II.: Numerical application of the method

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2007-10-04

PREAI

Malshe, M.; Raff, L. M.; Rockley, M. G.; Hagan, M.; Agrawal, Paras M.; Komanduri, R.

Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feed-forward neural networks (Retraction of vol 124, artn 054321, 2006)

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2006-08-16

OAAI

Doughan, D. I.; Raff, L. M.; Rockley, M. G.; Hagan, M.; Agrawal, Paras M.; Komanduri, R.

RETRACTED: Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feed-forward neural networks - art. no. 054321 (Retracted Article. See vol 125, ARTN 079901, 2006)

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2006-02-06

PREAI

Doughan, DI; Raff, LM; Rockley, MG; Hagan, M; Agrawal, PM; Komanduri, R

Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks -: art. no. 084104

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2005-02-15

156

PREAI

Raff, LM; Malshe, M; Hagan, M; Doughan, DI; Rockley, MG; Komanduri, R

Inverted pendulum systems: rotary and arm-driven - a mechatronic system design case study

MECHATRONICS

IF3.1

2002-03-01

PREAI

Awtar, S; King, N; Allen, T; Bang, I; Hagan, M; Skidmore, D; Craig, K

研究方向