B.G. Horne

3.1k citations

20 papers · 2.2k indexed · 2 hit papers · h-index 11

Artificial Intelligence top 1%
Control and Systems Engineering top 2%
Electrical and Electronic Engineering top 10%
Signal Processing top 2%
Computer Vision and Pattern Recognition top 5%

Co-authors: D. Hush C. Lee Giles Tsung-Nan Lin Peter Tiňo Hava T. Siegelmann Sun‐Yuan Kung Garrison W. Cottrell David A. Mann
Topics: Neural Networks and Applications (15 papers)Advanced Memory and Neural Computing (5 papers)Neural dynamics and brain function (4 papers)
Cited by: Artificial Intelligence Signal Processing Control and Systems Engineering
Journals: IEEE Transactions on Signal Processing The Journal of the Acoustical Society of America IEEE Signal Processing Magazine
Partner nations: United States Slovakia Australia

In The Last Decade

B.G. Horne

18 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Progress in supervised neural networks

1993 942 citations D. Hush, B.G. Horne IEEE Signal Processing Magazine profile →
Learning long-term dependencies in NARX recurrent neural networks

1996 536 citations Tsung-Nan Lin, B.G. Horne et al. IEEE Transactions on Neural Networks profile →

Peers

Countries citing papers authored by B.G. Horne

Since Specialization

Citations

This map shows the geographic impact of B.G. Horne's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by B.G. Horne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.G. Horne more than expected).

Fields of papers citing papers by B.G. Horne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.G. Horne. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by B.G. Horne. The network helps show where B.G. Horne may publish in the future.

Co-authorship network of co-authors of B.G. Horne

This figure shows the co-authorship network connecting the top 25 collaborators of B.G. Horne. A scholar is included among the top collaborators of B.G. Horne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B.G. Horne. B.G. Horne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Under-ice noise generated from diamond exploration in a Canadian sub-arctic lake and potential impacts on fishes 2009 ·The Journal of the Acoustical Society of America ·David A. Mann,Peter A. Cott,B.G. Horne	14
2	A connection network for robotic gripper control 2003 ·B.G. Horne,M. Jamshidi	1
3	Remembering the past: the role of embedded memory in recurrent neural network architectures 2002 ·C. Lee Giles,Tsung-Nan Lin,B.G. Horne	7
4	Recursive neural networks for signal processing and control 2002 ·UNM’s Digital Repository (University of New Mexico) ·D. Hush,Chaouki T. Abdallah,B.G. Horne	1
5	What to remember: how memory order affects the performance of NARX neural networks 2002 ·Tsung-Nan Lin,B.G. Horne,C. Lee Giles,Sun‐Yuan Kung	10
6	The past is important: a method for determining memory structure in NARX neural networks 2002 ·C. Lee Giles,Tsung-Nan Lin,B.G. Horne,Sun‐Yuan Kung	2
7	Error surfaces for multi-layer perceptrons 2002 ·D. Hush,(unknown),B.G. Horne	7
8	Online prediction of multiprocessor memory access patterns 2002 ·Proceedings of International Conference on Neural Networks (ICNN'96) ·(unknown),C. Lee Giles,Steven P. Levitan,B.G. Horne,Marco Maggini,Donald M. Chiarulli	4
9	Computational complexity of determining resource loops in re-entrant flow lines 2000 ·IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans ·Frank L. Lewis,B.G. Horne,Chaouki T. Abdallah	1
10	Alternative discrete-time operators: an algorithm for optimal selection of parameters 1999 ·IEEE Transactions on Signal Processing ·Andrew D. Back,B.G. Horne,Ah Chung Tsoi,C. Lee Giles	0
11	Efficient algorithms for function approximation with piecewise linear sigmoidal networks 1998 ·IEEE Transactions on Neural Networks ·D. Hush,B.G. Horne	38
12	Time-delay neural networks: representation and induction of finite-state machines 1997 ·IEEE Transactions on Neural Networks ·(unknown),C. Lee Giles,B.G. Horne,Garrison W. Cottrell	44
13	Computational capabilities of recurrent NARX neural networks 1997 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Hava T. Siegelmann,B.G. Horne,C. Lee Giles	336
14	A delay damage model selection algorithm for NARX neural networks 1997 ·IEEE Transactions on Signal Processing ·Tsung-Nan Lin,C. Lee Giles,B.G. Horne,Sun‐Yuan Kung	108
15	Learning long-term dependencies in NARX recurrent neural networksbreakdown → 1996 ·IEEE Transactions on Neural Networks ·Tsung-Nan Lin,B.G. Horne,Peter Tiňo,C. Lee Giles	536
16	An analysis of noise in recurrent neural networks: convergence and generalization 1996 ·IEEE Transactions on Neural Networks ·(unknown),C. Lee Giles,B.G. Horne	94
17	Learning a class of large finite state machines with a recurrent neural network 1995 ·Neural Networks ·C. Lee Giles,B.G. Horne,Tsung-Nan Lin	35
18	Progress in supervised neural networksbreakdown → 1993 ·IEEE Signal Processing Magazine ·D. Hush,B.G. Horne	942
19	Error surfaces for multilayer perceptrons 1992 ·IEEE Transactions on Systems Man and Cybernetics ·D. Hush,B.G. Horne,(unknown)	42
20	A neural network-based controller for a two-link robot 1990 ·M. Jaṁshidi,B.G. Horne,(unknown)	5

About B.G. Horne

B.G. Horne is a scholar working on Artificial Intelligence, Developmental Biology and Control and Systems Engineering, having authored 20 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Advanced Memory and Neural Computing (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Signal Processing (268 citations) and Control and Systems Engineering (458 citations). B.G. Horne has collaborated with scholars based in United States, Slovakia and Australia. Frequent co-authors include D. Hush, C. Lee Giles, Tsung-Nan Lin, Peter Tiňo, Hava T. Siegelmann, Sun‐Yuan Kung, Garrison W. Cottrell, David A. Mann, Peter A. Cott and M. Jaṁshidi. Their work appears in journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.

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