Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
10785 | 1035 | 20.4 | 39% |
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 | ON CHIP LEARNING | authKW | 222110 | 2% | 47% | 16 |
2 | IEEE TRANSACTIONS ON NEURAL NETWORKS | journal | 164860 | 12% | 4% | 127 |
3 | CONTINUOUS VALUED NUMBER SYSTEM CVNS | authKW | 147506 | 0% | 100% | 5 |
4 | STOCHASTIC COMPUTING | authKW | 142774 | 1% | 44% | 11 |
5 | INTEGER WEIGHTS | authKW | 94402 | 0% | 80% | 4 |
6 | MADALINE | authKW | 94402 | 0% | 80% | 4 |
7 | ALGORITHMIC MAPPING | authKW | 88504 | 0% | 100% | 3 |
8 | FAULT TOLERANT NEURAL NETWORKS | authKW | 88504 | 0% | 100% | 3 |
9 | NOISE TO SIGNAL RATIO NSR | authKW | 88504 | 0% | 100% | 3 |
10 | WEIGHT CLIPPING | authKW | 88504 | 0% | 100% | 3 |
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, Hardware & Architecture | 11560 | 19% | 0% | 196 |
2 | Engineering, Electrical & Electronic | 9774 | 56% | 0% | 584 |
3 | Computer Science, Artificial Intelligence | 8319 | 24% | 0% | 245 |
4 | Computer Science, Theory & Methods | 3449 | 16% | 0% | 169 |
5 | Computer Science, Software Engineering | 753 | 7% | 0% | 69 |
6 | Computer Science, Information Systems | 486 | 6% | 0% | 64 |
7 | Computer Science, Interdisciplinary Applications | 167 | 4% | 0% | 42 |
8 | Computer Science, Cybernetics | 113 | 1% | 0% | 11 |
9 | Automation & Control Systems | 57 | 2% | 0% | 20 |
10 | Neurosciences | 28 | 6% | 0% | 60 |
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 | DC EIM | 59002 | 0% | 100% | 2 |
2 | AQ | 39334 | 0% | 67% | 2 |
3 | COMP IMAGING ELECT SYST GRP | 39334 | 0% | 67% | 2 |
4 | SYST ENGN COMPUTAT | 30439 | 1% | 13% | 8 |
5 | ADV CONCEPT TEAM | 29501 | 0% | 100% | 1 |
6 | ADV HARDWARE ARCHITECTU AHA GRP | 29501 | 0% | 100% | 1 |
7 | ADV TECHNOL INFORMAT PROC SYST S | 29501 | 0% | 100% | 1 |
8 | AILE INGN | 29501 | 0% | 100% | 1 |
9 | AISP | 29501 | 0% | 100% | 1 |
10 | BIOL NETWORKS S | 29501 | 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 | 164860 | 12% | 4% | 127 |
2 | JOURNAL OF VLSI SIGNAL PROCESSING | 15090 | 1% | 6% | 8 |
3 | ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING | 13892 | 4% | 1% | 37 |
4 | IEEE MICRO | 12778 | 2% | 2% | 23 |
5 | NEUROCOMPUTING | 8590 | 5% | 1% | 53 |
6 | I&CS-CONTROL TECHNOLOGY FOR ENGINEERS AND ENGINEERING MANAGEMENT | 6938 | 0% | 12% | 2 |
7 | IEEE JOURNAL OF SOLID-STATE CIRCUITS | 5671 | 4% | 0% | 40 |
8 | NEURAL COMPUTATION | 5142 | 2% | 1% | 21 |
9 | ELECTRONICS LETTERS | 4619 | 8% | 0% | 79 |
10 | NEURAL NETWORKS | 4099 | 2% | 1% | 21 |
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 | ON CHIP LEARNING | 222110 | 2% | 47% | 16 | Search ON+CHIP+LEARNING | Search ON+CHIP+LEARNING |
2 | CONTINUOUS VALUED NUMBER SYSTEM CVNS | 147506 | 0% | 100% | 5 | Search CONTINUOUS+VALUED+NUMBER+SYSTEM+CVNS | Search CONTINUOUS+VALUED+NUMBER+SYSTEM+CVNS |
3 | STOCHASTIC COMPUTING | 142774 | 1% | 44% | 11 | Search STOCHASTIC+COMPUTING | Search STOCHASTIC+COMPUTING |
4 | INTEGER WEIGHTS | 94402 | 0% | 80% | 4 | Search INTEGER+WEIGHTS | Search INTEGER+WEIGHTS |
5 | MADALINE | 94402 | 0% | 80% | 4 | Search MADALINE | Search MADALINE |
6 | ALGORITHMIC MAPPING | 88504 | 0% | 100% | 3 | Search ALGORITHMIC+MAPPING | Search ALGORITHMIC+MAPPING |
7 | FAULT TOLERANT NEURAL NETWORKS | 88504 | 0% | 100% | 3 | Search FAULT+TOLERANT+NEURAL+NETWORKS | Search FAULT+TOLERANT+NEURAL+NETWORKS |
8 | NOISE TO SIGNAL RATIO NSR | 88504 | 0% | 100% | 3 | Search NOISE+TO+SIGNAL+RATIO+NSR | Search NOISE+TO+SIGNAL+RATIO+NSR |
9 | WEIGHT CLIPPING | 88504 | 0% | 100% | 3 | Search WEIGHT+CLIPPING | Search WEIGHT+CLIPPING |
10 | WEIGHT FAULT | 88504 | 0% | 100% | 3 | Search WEIGHT+FAULT | Search WEIGHT+FAULT |
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 | HO, K , LEUNG, CS , SUM, J , (2011) OBJECTIVE FUNCTIONS OF ONLINE WEIGHT NOISE INJECTION TRAINING ALGORITHMS FOR MLPS.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 22. ISSUE 2. P. 317 -323 | 22 | 100% | 1 |
2 | HO, KIJ , LEUNG, CS , SUM, J , (2010) CONVERGENCE AND OBJECTIVE FUNCTIONS OF SOME FAULT/NOISE-INJECTION-BASED ONLINE LEARNING ALGORITHMS FOR RBF NETWORKS.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 21. ISSUE 6. P. 938-947 | 24 | 86% | 8 |
3 | HUANG, LH , ZENG, XQ , ZHONG, SM , HAN, LX , (2014) SENSITIVITY STUDY OF BINARY FEEDFORWARD NEURAL NETWORKS.NEUROCOMPUTING. VOL. 136. ISSUE . P. 268-280 | 20 | 91% | 2 |
4 | SUM, JPF , LEUNG, CS , HO, KIJ , (2012) ON-LINE NODE FAULT INJECTION TRAINING ALGORITHM FOR MLP NETWORKS: OBJECTIVE FUNCTION AND CONVERGENCE ANALYSIS.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. VOL. 23. ISSUE 2. P. 211 -222 | 21 | 88% | 2 |
5 | XIAO, Y , FENG, RB , LEUNG, CS , SUM, PF , (2015) ONLINE TRAINING FOR OPEN FAULTY RBF NETWORKS.NEURAL PROCESSING LETTERS. VOL. 42. ISSUE 2. P. 397 -416 | 16 | 76% | 0 |
6 | SUM, JPF , LEUNG, CS , HO, KIJ , (2009) ON OBJECTIVE FUNCTION, REGULARIZER, AND PREDICTION ERROR OF A LEARNING ALGORITHM FOR DEALING WITH MULTIPLICATIVE WEIGHT NOISE.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 20. ISSUE 1. P. 124-138 | 20 | 69% | 5 |
7 | YANG, J , ZENG, XQ , ZHONG, SM , (2013) COMPUTATION OF MULTILAYER PERCEPTRON SENSITIVITY TO INPUT PERTURBATION.NEUROCOMPUTING. VOL. 99. ISSUE . P. 390 -398 | 16 | 76% | 2 |
8 | FENG, RB , HAN, ZF , WAN, WY , LEUNG, CS , (2017) PROPERTIES AND LEARNING ALGORITHMS FOR FAULTY RBF NETWORKS WITH COEXISTENCE OF WEIGHT AND NODE FAILURES.NEUROCOMPUTING. VOL. 224. ISSUE . P. 166 -176 | 19 | 59% | 0 |
9 | ZAMANLOOY, B , MIRHASSANI, M , (2015) CVNS SYNAPSE MULTIPLIER FOR ROBUST NEUROCHIPS WITH ON-CHIP LEARNING.IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS. VOL. 23. ISSUE 11. P. 2540 -2551 | 14 | 82% | 0 |
10 | KHODABANDEHLOO, G , MIRHASSANI, M , AHMADI, M , (2012) A PROTOTYPE CVNS DISTRIBUTED NEURAL NETWORK USING SYNAPSE-NEURON MODULES.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS. VOL. 59. ISSUE 7. P. 1482 -1490 | 13 | 93% | 0 |
Classes with closest relation at Level 1 |