Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
400 | 3532 | 28.8 | 80% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
15 | 4 | MATHEMATICS//MATHEMATICS, APPLIED//MATH | 719832 |
197 | 3 | CHAOS//INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS//PHYSICS, MATHEMATICAL | 53660 |
1806 | 2 | GLOBAL EXPONENTIAL STABILITY//CELLULAR NEURAL NETWORKS//TIME VARYING DELAY | 6266 |
400 | 1 | GLOBAL EXPONENTIAL STABILITY//TIME VARYING DELAY//COHEN GROSSBERG NEURAL NETWORKS | 3532 |
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 | GLOBAL EXPONENTIAL STABILITY | authKW | 2506341 | 10% | 79% | 368 |
2 | TIME VARYING DELAY | authKW | 1391929 | 14% | 33% | 482 |
3 | COHEN GROSSBERG NEURAL NETWORKS | authKW | 1297424 | 5% | 92% | 163 |
4 | EXPONENTIAL STABILITY | authKW | 879930 | 11% | 27% | 381 |
5 | LYAPUNOV FUNCTIONAL | authKW | 669877 | 7% | 29% | 263 |
6 | BAM NEURAL NETWORKS | authKW | 652297 | 2% | 88% | 86 |
7 | STOCHASTIC NEURAL NETWORKS | authKW | 492451 | 2% | 81% | 70 |
8 | DISTRIBUTED DELAYS | authKW | 421378 | 3% | 51% | 96 |
9 | LYAPUNOV KRASOVSKII FUNCTIONAL | authKW | 412095 | 4% | 32% | 151 |
10 | GLOBAL ASYMPTOTIC STABILITY | authKW | 399578 | 5% | 27% | 173 |
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 | 59702 | 34% | 1% | 1202 |
2 | Mathematics, Applied | 17613 | 29% | 0% | 1010 |
3 | Mathematics, Interdisciplinary Applications | 11369 | 13% | 0% | 466 |
4 | Physics, Mathematical | 3850 | 10% | 0% | 346 |
5 | Automation & Control Systems | 2937 | 6% | 0% | 223 |
6 | Engineering, Electrical & Electronic | 2328 | 17% | 0% | 605 |
7 | Physics, Multidisciplinary | 1885 | 12% | 0% | 427 |
8 | Computer Science, Theory & Methods | 1523 | 6% | 0% | 224 |
9 | Engineering, General | 1035 | 5% | 0% | 163 |
10 | Mathematics | 709 | 8% | 0% | 270 |
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 | MATH ECONOMETR | 158364 | 4% | 14% | 128 |
2 | LIAONING INTELLIGENT INFORMAT PROC | 112095 | 1% | 62% | 21 |
3 | RAMANUJAN HIGHER MATH | 104337 | 0% | 93% | 13 |
4 | COMPLEX SYST NETWORK SCI | 94882 | 1% | 31% | 36 |
5 | NONLINEAR MATH SCI | 67494 | 0% | 46% | 17 |
6 | CONTROL SCI ENGN | 53257 | 4% | 4% | 149 |
7 | ROBUST CONTROL NONLINEAR DYNAM | 52861 | 1% | 32% | 19 |
8 | IMAGE PROC INTELLIGENT CONTROL EDUC | 52664 | 0% | 38% | 16 |
9 | COMMUN CONTROL ENGN | 46980 | 1% | 20% | 27 |
10 | YANGTZE MATH | 44875 | 1% | 16% | 32 |
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 | NEUROCOMPUTING | 243323 | 15% | 5% | 519 |
2 | NEURAL NETWORKS | 94822 | 5% | 6% | 186 |
3 | NEURAL PROCESSING LETTERS | 78162 | 3% | 10% | 94 |
4 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 55213 | 4% | 5% | 136 |
5 | CHAOS SOLITONS & FRACTALS | 36276 | 5% | 2% | 182 |
6 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 32154 | 2% | 6% | 63 |
7 | NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS | 25810 | 2% | 3% | 86 |
8 | NEURAL COMPUTING & APPLICATIONS | 22351 | 2% | 3% | 78 |
9 | APPLIED MATHEMATICS AND COMPUTATION | 14046 | 5% | 1% | 170 |
10 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 12176 | 2% | 2% | 87 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | GLOBAL EXPONENTIAL STABILITY | 2506341 | 10% | 79% | 368 | Search GLOBAL+EXPONENTIAL+STABILITY | Search GLOBAL+EXPONENTIAL+STABILITY |
2 | TIME VARYING DELAY | 1391929 | 14% | 33% | 482 | Search TIME+VARYING+DELAY | Search TIME+VARYING+DELAY |
3 | COHEN GROSSBERG NEURAL NETWORKS | 1297424 | 5% | 92% | 163 | Search COHEN+GROSSBERG+NEURAL+NETWORKS | Search COHEN+GROSSBERG+NEURAL+NETWORKS |
4 | EXPONENTIAL STABILITY | 879930 | 11% | 27% | 381 | Search EXPONENTIAL+STABILITY | Search EXPONENTIAL+STABILITY |
5 | LYAPUNOV FUNCTIONAL | 669877 | 7% | 29% | 263 | Search LYAPUNOV+FUNCTIONAL | Search LYAPUNOV+FUNCTIONAL |
6 | BAM NEURAL NETWORKS | 652297 | 2% | 88% | 86 | Search BAM+NEURAL+NETWORKS | Search BAM+NEURAL+NETWORKS |
7 | STOCHASTIC NEURAL NETWORKS | 492451 | 2% | 81% | 70 | Search STOCHASTIC+NEURAL+NETWORKS | Search STOCHASTIC+NEURAL+NETWORKS |
8 | DISTRIBUTED DELAYS | 421378 | 3% | 51% | 96 | Search DISTRIBUTED+DELAYS | Search DISTRIBUTED+DELAYS |
9 | LYAPUNOV KRASOVSKII FUNCTIONAL | 412095 | 4% | 32% | 151 | Search LYAPUNOV+KRASOVSKII+FUNCTIONAL | Search LYAPUNOV+KRASOVSKII+FUNCTIONAL |
10 | GLOBAL ASYMPTOTIC STABILITY | 399578 | 5% | 27% | 173 | Search GLOBAL+ASYMPTOTIC+STABILITY | Search GLOBAL+ASYMPTOTIC+STABILITY |
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 | ZHANG, HG , WANG, ZS , LIU, DR , (2014) A COMPREHENSIVE REVIEW OF STABILITY ANALYSIS OF CONTINUOUS-TIME RECURRENT NEURAL NETWORKS.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 25. ISSUE 7. P. 1229 -1262 | 217 | 75% | 60 |
2 | ZHANG, CK , HE, Y , JIANG, L , LIN, WJ , WU, M , (2017) DELAY-DEPENDENT STABILITY ANALYSIS OF NEURAL NETWORKS WITH TIME-VARYING DELAY: A GENERALIZED FREE-WEIGHTING-MATRIX APPROACH.APPLIED MATHEMATICS AND COMPUTATION. VOL. 294. ISSUE . P. 102 -120 | 53 | 85% | 1 |
3 | JIAN, JG , WANG, BX , (2015) GLOBAL LAGRANGE STABILITY FOR NEUTRAL-TYPE COHEN-GROSSBERG BAM NEURAL NETWORKS WITH MIXED TIME-VARYING DELAYS.MATHEMATICS AND COMPUTERS IN SIMULATION. VOL. 116. ISSUE . P. 1 -25 | 65 | 92% | 3 |
4 | PENG, WL , WU, QX , ZHANG, ZQ , (2016) LMI-BASED GLOBAL EXPONENTIAL STABILITY OF EQUILIBRIUM POINT FOR NEUTRAL DELAYED BAM NEURAL NETWORKS WITH DELAYS IN LEAKAGE TERMS VIA NEW INEQUALITY TECHNIQUE.NEUROCOMPUTING. VOL. 199. ISSUE . P. 103 -113 | 50 | 98% | 1 |
5 | WANG, ZS , ZHANG, HG , JIANG, B , (2011) LMI-BASED APPROACH FOR GLOBAL ASYMPTOTIC STABILITY ANALYSIS OF RECURRENT NEURAL NETWORKS WITH VARIOUS DELAYS AND STRUCTURES.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 22. ISSUE 7. P. 1032 -1045 | 55 | 93% | 42 |
6 | SINGH, V , (2009) MODIFIED CRITERIA FOR GLOBAL ROBUST STABILITY OF INTERVAL DELAYED NEURAL NETWORKS.APPLIED MATHEMATICS AND COMPUTATION. VOL. 215. ISSUE 8. P. 3124 -3133 | 67 | 89% | 11 |
7 | GUO, ZY , WANG, J , YAN, Z , (2014) A SYSTEMATIC METHOD FOR ANALYZING ROBUST STABILITY OF INTERVAL NEURAL NETWORKS WITH TIME-DELAYS BASED ON STABILITY CRITERIA.NEURAL NETWORKS. VOL. 54. ISSUE . P. 112-122 | 49 | 100% | 10 |
8 | WANG, CH , KAO, YG , YANG, GW , (2012) EXPONENTIAL STABILITY OF IMPULSIVE STOCHASTIC FUZZY REACTION-DIFFUSION COHEN-GROSSBERG NEURAL NETWORKS WITH MIXED DELAYS.NEUROCOMPUTING. VOL. 89. ISSUE . P. 55-63 | 53 | 93% | 28 |
9 | TIAN, JK , XIONG, WJ , XU, F , (2014) IMPROVED DELAY-PARTITIONING METHOD TO STABILITY ANALYSIS FOR NEURAL NETWORKS WITH DISCRETE AND DISTRIBUTED TIME-VARYING DELAYS.APPLIED MATHEMATICS AND COMPUTATION. VOL. 233. ISSUE . P. 152 -164 | 42 | 98% | 32 |
10 | ZHANG, CK , HE, Y , JIANG, L , WU, QH , WU, M , (2014) DELAY-DEPENDENT STABILITY CRITERIA FOR GENERALIZED NEURAL NETWORKS WITH TWO DELAY COMPONENTS.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 25. ISSUE 7. P. 1263-1276 | 50 | 78% | 38 |
Classes with closest relation at Level 1 |