Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
33536 | 123 | 22.9 | 40% |
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 | JOHNS HOPKINS EPILEPSY | address | 640232 | 6% | 37% | 7 |
2 | BIOLOGICAL BASED NEURON MODELS | authKW | 496513 | 2% | 100% | 2 |
3 | HYLCAM | authKW | 496513 | 2% | 100% | 2 |
4 | INDIRECT CODE GENERATION | authKW | 496513 | 2% | 100% | 2 |
5 | POSTNONLINEAR PROJECTION | authKW | 496513 | 2% | 100% | 2 |
6 | SINGLELAYER TRAINING | authKW | 496513 | 2% | 100% | 2 |
7 | HAIRY MODEL | authKW | 331008 | 2% | 67% | 2 |
8 | POTTS ENCODING | authKW | 331008 | 2% | 67% | 2 |
9 | MEAN FIELD ANNEALING | authKW | 253417 | 6% | 15% | 7 |
10 | ACTIVATION FUNCTION CIRCUIT | authKW | 248257 | 1% | 100% | 1 |
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, Cybernetics | 1322 | 10% | 0% | 12 |
2 | Computer Science, Artificial Intelligence | 1279 | 27% | 0% | 33 |
3 | Engineering, Electrical & Electronic | 459 | 37% | 0% | 45 |
4 | Computer Science, Theory & Methods | 191 | 11% | 0% | 14 |
5 | Medical Informatics | 125 | 4% | 0% | 5 |
6 | Computer Science, Hardware & Architecture | 56 | 4% | 0% | 5 |
7 | Neurosciences | 48 | 14% | 0% | 17 |
8 | Computer Science, Information Systems | 22 | 4% | 0% | 5 |
9 | Computer Science, Interdisciplinary Applications | 20 | 4% | 0% | 5 |
10 | Engineering, Biomedical | 14 | 3% | 0% | 4 |
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 | JOHNS HOPKINS EPILEPSY | 640232 | 6% | 37% | 7 |
2 | ADV TECHNOL PROGRAMCHEM LIFE SCI OFFICE | 248257 | 1% | 100% | 1 |
3 | AFFILITED HOSP 2 | 248257 | 1% | 100% | 1 |
4 | ELE OTECHNOL ESAT | 248257 | 1% | 100% | 1 |
5 | FAK ELECT ENGN COMP SCI 4 | 248257 | 1% | 100% | 1 |
6 | MED NEUROL MARYLAND EPILEPSY | 248257 | 1% | 100% | 1 |
7 | MED PROGRAM BIOMED ENGN | 248257 | 1% | 100% | 1 |
8 | OPT ELECT INTEGRATED CIRCUIT DESIGN GRP | 248257 | 1% | 100% | 1 |
9 | RECH EAUX NEURONAUX | 248257 | 1% | 100% | 1 |
10 | TRAITEMENT SIGNAL RUMENTAT MED | 248257 | 1% | 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 | BIOLOGICAL CYBERNETICS | 5254 | 7% | 0% | 8 |
2 | IEEE TRANSACTIONS ON SIGNAL PROCESSING | 4243 | 11% | 0% | 13 |
3 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 4207 | 6% | 0% | 7 |
4 | NEUROCOMPUTING | 2585 | 8% | 0% | 10 |
5 | JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY | 2582 | 2% | 1% | 2 |
6 | CYBERNETICS AND SYSTEMS ANALYSIS | 2491 | 2% | 1% | 2 |
7 | BEHAVIOR AND PHILOSOPHY | 1851 | 1% | 1% | 1 |
8 | TRANSACTIONS OF THE INSTITUTION OF MINING AND METALLURGY SECTION A-MINING INDUSTRY | 1589 | 1% | 1% | 1 |
9 | AVTOMATIKA | 1467 | 1% | 1% | 1 |
10 | NEURAL NETWORKS | 1256 | 3% | 0% | 4 |
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 | BIOLOGICAL BASED NEURON MODELS | 496513 | 2% | 100% | 2 | Search BIOLOGICAL+BASED+NEURON+MODELS | Search BIOLOGICAL+BASED+NEURON+MODELS |
2 | HYLCAM | 496513 | 2% | 100% | 2 | Search HYLCAM | Search HYLCAM |
3 | INDIRECT CODE GENERATION | 496513 | 2% | 100% | 2 | Search INDIRECT+CODE+GENERATION | Search INDIRECT+CODE+GENERATION |
4 | POSTNONLINEAR PROJECTION | 496513 | 2% | 100% | 2 | Search POSTNONLINEAR+PROJECTION | Search POSTNONLINEAR+PROJECTION |
5 | SINGLELAYER TRAINING | 496513 | 2% | 100% | 2 | Search SINGLELAYER+TRAINING | Search SINGLELAYER+TRAINING |
6 | HAIRY MODEL | 331008 | 2% | 67% | 2 | Search HAIRY+MODEL | Search HAIRY+MODEL |
7 | POTTS ENCODING | 331008 | 2% | 67% | 2 | Search POTTS+ENCODING | Search POTTS+ENCODING |
8 | MEAN FIELD ANNEALING | 253417 | 6% | 15% | 7 | Search MEAN+FIELD+ANNEALING | Search MEAN+FIELD+ANNEALING |
9 | ACTIVATION FUNCTION CIRCUIT | 248257 | 1% | 100% | 1 | Search ACTIVATION+FUNCTION+CIRCUIT | Search ACTIVATION+FUNCTION+CIRCUIT |
10 | ADALINES | 248257 | 1% | 100% | 1 | Search ADALINES | Search ADALINES |
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 | CONSTANTINESCU, A , BADEA, L , (2009) THE OPTIMIZATION OF THE CHOOSES IN A FINANCIAL CRISIS SITUATION USING NEURO-FUZZY CLASSIFIERS WITH THE EXAMPLE DEPENDENT COSTS.METALURGIA INTERNATIONAL. VOL. 14. ISSUE . P. 125-128 | 4 | 100% | 0 |
2 | BERSHAD, NJ , SHYNK, JJ , (1994) PERFORMANCE ANALYSIS OF A CONVERGED SINGLE-LAYER PERCEPTRON FOR NONSEPARABLE DATA MODELS WITH BIAS TERMS.IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 42. ISSUE 1. P. 175-188 | 6 | 100% | 0 |
3 | WU, JM , WU, CC , CHEN, JC , LIN, YL , (2016) SET-VALUED FUNCTIONAL NEURAL MAPPING AND INVERSE SYSTEM APPROXIMATION.NEUROCOMPUTING. VOL. 173. ISSUE . P. 1276 -1287 | 6 | 46% | 0 |
4 | XU, J , GE, H , ZHOU, X , YANG, D , (2005) TISSUE ENGINEERING SCHEMING BY ARTIFICIAL INTELLIGENCE.INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS. VOL. 28. ISSUE 1. P. 74-78 | 4 | 67% | 1 |
5 | ORTIGOSA, EM , CANAS, A , RODRIGUEZ, R , DIAZ, J , MOTA, S , (2006) TOWARDS AN OPTIMAL IMPLEMENTATION OF MLP IN FPGA.RECONFIGURABLE COMPUTING: ARCHITECTURES AND APPLICATIONS. VOL. 3985. ISSUE . P. 46-51 | 3 | 75% | 0 |
6 | GEIBEL, P , WYSOTZKI, F , (2004) LEARNING PERCEPTRONS AND PIECEWISE LINEAR CLASSIFIERS SENSITIVE TO EXAMPLE DEPENDENT COSTS.APPLIED INTELLIGENCE. VOL. 21. ISSUE 1. P. 45-56 | 3 | 75% | 4 |
7 | YANG, KH , FRANASZCZUK, PJ , BERGEY, GK , (2002) THE INFLUENCE OF SYNAPTIC CONNECTIVITY ON THE PATTERN OF BURSTING BEHAVIOR IN MODEL PYRAMIDAL CELLS.NEUROCOMPUTING. VOL. 44. ISSUE . P. 233-242 | 4 | 57% | 0 |
8 | IBNKAHLA, M , (2012) STOCHASTIC ANALYSIS OF NEURAL NETWORK MODELING AND IDENTIFICATION OF NONLINEAR MEMORYLESS MIMO SYSTEMS.EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING. VOL. . ISSUE . P. - | 4 | 40% | 0 |
9 | DIGGAVI, SN , SHYNK, JJ , BERSHAD, NJ , (1995) CONVERGENCE MODELS FOR ROSENBLATTS PERCEPTRON LEARNING ALGORITHM.IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 43. ISSUE 7. P. 1696-1702 | 4 | 67% | 3 |
10 | IBNKAHLA, M , (2002) STATISTICAL ANALYSIS OF NEURAL NETWORK MODELING AND IDENTIFICATION OF NONLINEAR SYSTEMS WITH MEMORY.IEEE TRANSACTIONS ON SIGNAL PROCESSING. VOL. 50. ISSUE 6. P. 1508 -1517 | 5 | 38% | 7 |
Classes with closest relation at Level 1 |