Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
8975 | 1200 | 22.0 | 53% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | PROJECTION NEURAL NETWORK | authKW | 357812 | 1% | 94% | 15 |
2 | HOPFIELD NEURAL NETWORK | authKW | 246811 | 5% | 15% | 63 |
3 | RECURRENT NEURAL NETWORKS | authKW | 204737 | 8% | 9% | 93 |
4 | N QUEENS PROBLEM | authKW | 191800 | 1% | 54% | 14 |
5 | ZHANG NEURAL NETWORK ZNN | authKW | 178112 | 1% | 100% | 7 |
6 | ZHANG NEURAL NETWORK | authKW | 155846 | 1% | 88% | 7 |
7 | HOPFIELD NETWORK | authKW | 154596 | 2% | 22% | 28 |
8 | BIPARTITE SUBGRAPH PROBLEM | authKW | 152667 | 1% | 100% | 6 |
9 | AUTONOMOUS SYST NETWORKED CONTROL | address | 143323 | 1% | 43% | 13 |
10 | GRADIENT BASED NEURAL NETWORK | authKW | 127223 | 0% | 100% | 5 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 20550 | 34% | 0% | 411 |
2 | Engineering, Electrical & Electronic | 3958 | 35% | 0% | 415 |
3 | Computer Science, Cybernetics | 3444 | 5% | 0% | 61 |
4 | Computer Science, Theory & Methods | 2213 | 12% | 0% | 148 |
5 | Computer Science, Hardware & Architecture | 1816 | 7% | 0% | 86 |
6 | Computer Science, Information Systems | 951 | 8% | 0% | 94 |
7 | Operations Research & Management Science | 938 | 7% | 0% | 81 |
8 | Mathematics, Applied | 777 | 11% | 0% | 135 |
9 | Automation & Control Systems | 560 | 5% | 0% | 58 |
10 | Computer Science, Interdisciplinary Applications | 452 | 6% | 0% | 70 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | AUTONOMOUS SYST NETWORKED CONTROL | 143323 | 1% | 43% | 13 |
2 | ROBOT SENSOR HUMAN MACHINE INTERACT | 67849 | 0% | 67% | 4 |
3 | LENGUAJE CIENCIAS COMPUTAC | 50889 | 0% | 100% | 2 |
4 | AUTOMAT COMP AIDED ENGN | 38444 | 2% | 7% | 22 |
5 | BRAINWARE | 38164 | 0% | 50% | 3 |
6 | BE CO | 25445 | 0% | 100% | 1 |
7 | BIOPHYS ELECT DIBE | 25445 | 0% | 100% | 1 |
8 | CHILD PSYCHIAT BRAIN IMAGING | 25445 | 0% | 100% | 1 |
9 | COMPLEX SYST INTELLIGENCE SYST | 25445 | 0% | 100% | 1 |
10 | COMPUTAT TI | 25445 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 93466 | 9% | 4% | 103 |
2 | NEUROCOMPUTING | 27577 | 9% | 1% | 102 |
3 | NEURAL NETWORKS | 23508 | 5% | 2% | 54 |
4 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 20074 | 2% | 3% | 29 |
5 | NEURAL PROCESSING LETTERS | 13760 | 2% | 2% | 23 |
6 | NEURAL COMPUTATION | 6286 | 2% | 1% | 25 |
7 | NEURAL COMPUTING & APPLICATIONS | 5226 | 2% | 1% | 22 |
8 | BIOLOGICAL CYBERNETICS | 5225 | 2% | 1% | 25 |
9 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS | 4635 | 2% | 1% | 18 |
10 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 4555 | 2% | 1% | 19 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | BARBAROSOU, MP , MARATOS, NG , (2008) A NONFEASIBLE GRADIENT PROJECTION RECURRENT NEURAL NETWORK FOR EQUALITY-CONSTRAINED OPTIMIZATION PROBLEMS.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 19. ISSUE 10. P. 1665-1677 | 36 | 97% | 9 |
2 | LIU, QS , GUO, ZS , WANG, J , (2012) A ONE-LAYER RECURRENT NEURAL NETWORK FOR CONSTRAINED PSEUDOCONVEX OPTIMIZATION AND ITS APPLICATION FOR DYNAMIC PORTFOLIO OPTIMIZATION.NEURAL NETWORKS. VOL. 26. ISSUE . P. 99-109 | 29 | 94% | 33 |
3 | LIU, QS , WANG, J , (2013) A ONE-LAYER PROJECTION NEURAL NETWORK FOR NONSMOOTH OPTIMIZATION SUBJECT TO LINEAR EQUALITIES AND BOUND CONSTRAINTS.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 24. ISSUE 5. P. 812 -824 | 33 | 80% | 24 |
4 | LI, GC , YAN, Z , WANG, J , (2015) A ONE-LAYER RECURRENT NEURAL NETWORK FOR CONSTRAINED NONCONVEX OPTIMIZATION.NEURAL NETWORKS. VOL. 61. ISSUE . P. 10 -21 | 30 | 88% | 5 |
5 | NAZEMI, A , (2014) A NEURAL NETWORK MODEL FOR SOLVING CONVEX QUADRATIC PROGRAMMING PROBLEMS WITH SOME APPLICATIONS.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. VOL. 32. ISSUE . P. 54-62 | 29 | 97% | 4 |
6 | NAZEMI, A , TAHMASBI, N , (2015) A PRACTICAL NONLINEAR DYNAMIC FRAMEWORK FOR SOLVING A CLASS OF FRACTIONAL PROGRAMMING PROBLEMS.NONLINEAR DYNAMICS. VOL. 82. ISSUE 3. P. 1093 -1108 | 35 | 80% | 0 |
7 | YANG, YQ , CAO, JD , XU, XY , HU, MF , GAO, Y , (2014) A NEW NEURAL NETWORK FOR SOLVING QUADRATIC PROGRAMMING PROBLEMS WITH EQUALITY AND INEQUALITY CONSTRAINTS.MATHEMATICS AND COMPUTERS IN SIMULATION. VOL. 101. ISSUE . P. 103-112 | 27 | 100% | 5 |
8 | WEN, UP , LAN, KM , SHIH, HS , (2009) A REVIEW OF HOPFIELD NEURAL NETWORKS FOR SOLVING MATHEMATICAL PROGRAMMING PROBLEMS.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. VOL. 198. ISSUE 3. P. 675-687 | 43 | 67% | 16 |
9 | LIU, QS , HUANG, TW , WANG, J , (2014) ONE-LAYER CONTINUOUS- AND DISCRETE-TIME PROJECTION NEURAL NETWORKS FOR SOLVING VARIATIONAL INEQUALITIES AND RELATED OPTIMIZATION PROBLEMS.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 25. ISSUE 7. P. 1308-1318 | 29 | 88% | 5 |
10 | LI, CJ , YU, XH , HUANG, TW , CHEN, G , HE, X , (2016) A GENERALIZED HOPFIELD NETWORK FOR NONSMOOTH CONSTRAINED CONVEX OPTIMIZATION: LIE DERIVATIVE APPROACH.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 27. ISSUE 2. P. 308 -321 | 25 | 68% | 7 |
Classes with closest relation at Level 1 |