Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
1806 | 6266 | 25.9 | 68% |
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 |
8427 | 1 | STATE DEPENDENT DELAY//HOPF BIFURCATION//DOUBLE HOPF BIFURCATION | 1254 |
12235 | 1 | CELLULAR NEURAL NETWORKS//CNN//CELLULAR NONLINEAR NETWORKS | 921 |
18243 | 1 | FINDING ALL SOLUTIONS//DC ANALYSIS//DC OPERATING POINT | 559 |
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 | 1435575 | 6% | 79% | 371 |
2 | CELLULAR NEURAL NETWORKS | authKW | 1422592 | 6% | 77% | 381 |
3 | TIME VARYING DELAY | authKW | 784178 | 8% | 33% | 482 |
4 | COHEN GROSSBERG NEURAL NETWORKS | authKW | 740187 | 3% | 93% | 164 |
5 | EXPONENTIAL STABILITY | authKW | 530093 | 6% | 28% | 394 |
6 | BAM NEURAL NETWORKS | authKW | 429904 | 1% | 95% | 93 |
7 | LYAPUNOV FUNCTIONAL | authKW | 388939 | 4% | 30% | 267 |
8 | DISTRIBUTED DELAYS | authKW | 278676 | 2% | 55% | 104 |
9 | STOCHASTIC NEURAL NETWORKS | authKW | 277522 | 1% | 81% | 70 |
10 | GLOBAL ASYMPTOTIC STABILITY | authKW | 235619 | 3% | 27% | 177 |
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 | 46108 | 23% | 1% | 1421 |
2 | Mathematics, Applied | 29836 | 28% | 0% | 1753 |
3 | Mathematics, Interdisciplinary Applications | 19881 | 13% | 1% | 821 |
4 | Engineering, Electrical & Electronic | 11997 | 27% | 0% | 1696 |
5 | Physics, Mathematical | 6153 | 9% | 0% | 585 |
6 | Automation & Control Systems | 3431 | 5% | 0% | 326 |
7 | Mathematics | 2840 | 11% | 0% | 665 |
8 | Computer Science, Hardware & Architecture | 2637 | 4% | 0% | 246 |
9 | Physics, Multidisciplinary | 2180 | 10% | 0% | 635 |
10 | Mechanics | 1651 | 7% | 0% | 414 |
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 | 198701 | 3% | 21% | 191 |
2 | ANAL NEURAL COMP | 77932 | 0% | 80% | 20 |
3 | COMPLEX SYST NETWORK SCI | 69341 | 1% | 35% | 41 |
4 | LIAONING INTELLIGENT INFORMAT PROC | 63167 | 0% | 62% | 21 |
5 | RAMANUJAN HIGHER MATH | 58801 | 0% | 93% | 13 |
6 | GUIZHOU ECON SYST SIMULAT | 52559 | 1% | 30% | 36 |
7 | ANALOG NEURAL COMP | 48420 | 0% | 76% | 13 |
8 | ANALOG NEURAL COMP SYST | 43835 | 0% | 75% | 12 |
9 | NONLINEAR MATH SCI | 38030 | 0% | 46% | 17 |
10 | MATH | 34650 | 28% | 0% | 1769 |
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 | 170863 | 9% | 6% | 580 |
2 | INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS | 150799 | 4% | 14% | 222 |
3 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 72056 | 4% | 5% | 281 |
4 | NEURAL NETWORKS | 66046 | 3% | 7% | 207 |
5 | INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 57716 | 4% | 5% | 256 |
6 | NEURAL PROCESSING LETTERS | 51798 | 2% | 10% | 102 |
7 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 45152 | 3% | 6% | 164 |
8 | CHAOS SOLITONS & FRACTALS | 37241 | 4% | 3% | 246 |
9 | NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS | 26873 | 2% | 5% | 117 |
10 | NONLINEAR DYNAMICS | 24930 | 3% | 3% | 160 |
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 | 1435575 | 6% | 79% | 371 | Search GLOBAL+EXPONENTIAL+STABILITY | Search GLOBAL+EXPONENTIAL+STABILITY |
2 | CELLULAR NEURAL NETWORKS | 1422592 | 6% | 77% | 381 | Search CELLULAR+NEURAL+NETWORKS | Search CELLULAR+NEURAL+NETWORKS |
3 | TIME VARYING DELAY | 784178 | 8% | 33% | 482 | Search TIME+VARYING+DELAY | Search TIME+VARYING+DELAY |
4 | COHEN GROSSBERG NEURAL NETWORKS | 740187 | 3% | 93% | 164 | Search COHEN+GROSSBERG+NEURAL+NETWORKS | Search COHEN+GROSSBERG+NEURAL+NETWORKS |
5 | EXPONENTIAL STABILITY | 530093 | 6% | 28% | 394 | Search EXPONENTIAL+STABILITY | Search EXPONENTIAL+STABILITY |
6 | BAM NEURAL NETWORKS | 429904 | 1% | 95% | 93 | Search BAM+NEURAL+NETWORKS | Search BAM+NEURAL+NETWORKS |
7 | LYAPUNOV FUNCTIONAL | 388939 | 4% | 30% | 267 | Search LYAPUNOV+FUNCTIONAL | Search LYAPUNOV+FUNCTIONAL |
8 | DISTRIBUTED DELAYS | 278676 | 2% | 55% | 104 | Search DISTRIBUTED+DELAYS | Search DISTRIBUTED+DELAYS |
9 | STOCHASTIC NEURAL NETWORKS | 277522 | 1% | 81% | 70 | Search STOCHASTIC+NEURAL+NETWORKS | Search STOCHASTIC+NEURAL+NETWORKS |
10 | GLOBAL ASYMPTOTIC STABILITY | 235619 | 3% | 27% | 177 | 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 | 223 | 77% | 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 | 54 | 87% | 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 | 67 | 94% | 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 | 51 | 100% | 1 |
5 | XU, CJ , LI, PL , PANG, YC , (2016) GLOBAL EXPONENTIAL STABILITY FOR INTERVAL GENERAL BIDIRECTIONAL ASSOCIATIVE MEMORY (BAM) NEURAL NETWORKS WITH PROPORTIONAL DELAYS.MATHEMATICAL METHODS IN THE APPLIED SCIENCES. VOL. 39. ISSUE 18. P. 5720 -5731 | 55 | 100% | 0 |
6 | 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 |
7 | 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 | 54 | 95% | 28 |
8 | 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 |
9 | 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 | 51 | 80% | 38 |
10 | 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 |
Classes with closest relation at Level 2 |