Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
20065 | 478 | 25.3 | 51% |
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 | WIDELY LINEAR MODEL | authKW | 817664 | 3% | 80% | 16 |
2 | WIDELY LINEAR PROCESSING | authKW | 711008 | 3% | 70% | 16 |
3 | COMPLEX VALUED NEURAL NETWORKS | authKW | 705557 | 6% | 41% | 27 |
4 | IMPROPER GAUSSIAN SIGNALING | authKW | 574924 | 2% | 100% | 9 |
5 | COMPLEX VALUED NEURAL NETWORK | authKW | 463711 | 3% | 52% | 14 |
6 | WIDELY LINEAR ESTIMATION | authKW | 398019 | 2% | 69% | 9 |
7 | AUGMENTED QUATERNION STATISTICS | authKW | 391266 | 1% | 88% | 7 |
8 | CIRCULARITY COEFFICIENTS | authKW | 391266 | 1% | 88% | 7 |
9 | NONCIRCULAR | authKW | 351332 | 2% | 50% | 11 |
10 | WIDELY LINEAR | authKW | 344947 | 2% | 60% | 9 |
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 | Engineering, Electrical & Electronic | 5889 | 64% | 0% | 306 |
2 | Computer Science, Artificial Intelligence | 5109 | 27% | 0% | 130 |
3 | Computer Science, Hardware & Architecture | 712 | 7% | 0% | 34 |
4 | Telecommunications | 646 | 10% | 0% | 49 |
5 | Computer Science, Theory & Methods | 494 | 9% | 0% | 45 |
6 | Computer Science, Information Systems | 461 | 9% | 0% | 41 |
7 | Computer Science, Interdisciplinary Applications | 64 | 4% | 0% | 18 |
8 | COMPUTER APPLICATIONS & CYBERNETICS | 22 | 0% | 0% | 1 |
9 | Mathematics, Applied | 11 | 3% | 0% | 16 |
10 | Statistics & Probability | 10 | 2% | 0% | 8 |
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 | SIGNAL PROC NEURAL NETWORKS TEAM | 191641 | 1% | 100% | 3 |
2 | ABORAT 531 | 63880 | 0% | 100% | 1 |
3 | AMS TCP | 63880 | 0% | 100% | 1 |
4 | CABLE BROADBAND COMMUN LIBIT | 63880 | 0% | 100% | 1 |
5 | CHAIR MEDIA TECHNOL LMT | 63880 | 0% | 100% | 1 |
6 | CITICNRS UMR 5157 | 63880 | 0% | 100% | 1 |
7 | DEPELECT ELECT COMP ENGN | 63880 | 0% | 100% | 1 |
8 | DIPARTIMENTO INGN ELETTRON DELLE TELECOMUN | 63880 | 0% | 100% | 1 |
9 | DIPARTIMENTO SISTEMA RADAR | 63880 | 0% | 100% | 1 |
10 | ELE OMECH SYSTENIS | 63880 | 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 SIGNAL PROCESSING | 43542 | 17% | 1% | 82 |
2 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 37510 | 5% | 2% | 25 |
3 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 14742 | 3% | 2% | 12 |
4 | SIGNAL PROCESSING | 9489 | 6% | 0% | 31 |
5 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 7146 | 4% | 1% | 18 |
6 | NEURAL NETWORKS | 6552 | 4% | 1% | 18 |
7 | IEEE SIGNAL PROCESSING LETTERS | 5956 | 4% | 0% | 20 |
8 | EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING | 2897 | 2% | 0% | 10 |
9 | NEUROCOMPUTING | 1903 | 4% | 0% | 17 |
10 | INFORMATION SCIENCES-APPLICATIONS | 1725 | 0% | 3% | 1 |
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 | ADALI, T , SCHREIER, PJ , SCHARF, LL , (2011) COMPLEX-VALUED SIGNAL PROCESSING: THE PROPER WAY TO DEAL WITH IMPROPRIETY.IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 59. ISSUE 11. P. 5101 -5125 | 39 | 56% | 83 |
2 | KOBAYASHI, M , (2016) GLOBAL HYPERBOLIC HOPFIELD NEURAL NETWORKS.IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES. VOL. E99A. ISSUE 12. P. 2511 -2516 | 22 | 96% | 0 |
3 | SAVITHA, R , SURESH, S , SUNDARARAJAN, N , (2013) PROJECTION-BASED FAST LEARNING FULLY COMPLEX-VALUED RELAXATION NEURAL NETWORK.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 24. ISSUE 4. P. 529 -541 | 26 | 72% | 20 |
4 | SIVACHITRA, M , SAVITHA, R , SURESH, S , VIJAYACHITRA, S , (2015) A FULLY COMPLEX-VALUED FAST LEARNING CLASSIFIER (FC-FLC) FOR REAL-VALUED CLASSIFICATION PROBLEMS.NEUROCOMPUTING. VOL. 149. ISSUE . P. 198 -206 | 23 | 77% | 4 |
5 | SUBRAMANIAN, K , SAVITHA, R , SURESH, S , (2014) A COMPLEX-VALUED NEURO-FUZZY INFERENCE SYSTEM AND ITS LEARNING MECHANISM.NEUROCOMPUTING. VOL. 123. ISSUE . P. 110-120 | 24 | 69% | 15 |
6 | XU, DP , XIA, YL , MANDIC, DP , (2016) OPTIMIZATION IN QUATERNION DYNAMIC SYSTEMS: GRADIENT, HESSIAN, AND LEARNING ALGORITHMS.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 27. ISSUE 2. P. 249 -261 | 21 | 70% | 2 |
7 | SAVITHA, R , SURESH, S , SUNDARARAJAN, N , (2012) METACOGNITIVE LEARNING IN A FULLY COMPLEX-VALUED RADIAL BASIS FUNCTION NEURAL NETWORK.NEURAL COMPUTATION. VOL. 24. ISSUE 5. P. 1297 -1328 | 22 | 73% | 27 |
8 | SIVACHITRA, M , VIJAYACHITRA, S , (2015) A METACOGNITIVE FULLY COMPLEX VALUED FUNCTIONAL LINK NETWORK FOR SOLVING REAL VALUED CLASSIFICATION PROBLEMS.APPLIED SOFT COMPUTING. VOL. 33. ISSUE . P. 328 -336 | 21 | 72% | 0 |
9 | SAVITHA, R , SURESH, S , SUNDARARAJAN, N , (2013) FAST LEARNING COMPLEX-VALUED CLASSIFIERS FOR REAL-VALUED CLASSIFICATION PROBLEMS.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS. VOL. 4. ISSUE 5. P. 469 -476 | 21 | 68% | 5 |
10 | ADALI, T , SCHREIER, PJ , (2014) OPTIMIZATION AND ESTIMATION OF COMPLEX-VALUED SIGNALS.IEEE SIGNAL PROCESSING MAGAZINE. VOL. 31. ISSUE 5. P. 112 -128 | 29 | 44% | 9 |
Classes with closest relation at Level 1 |