Class information for: |
Basic class information |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
| rank | Category | termType | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|---|
| 1 | NEOCOGNITRON | authKW | 2098241 | 8% | 88% | 28 |
| 2 | MICROPOPULATION | authKW | 419645 | 2% | 70% | 7 |
| 3 | DYNAMIC LINK MATCHING | authKW | 274055 | 1% | 80% | 4 |
| 4 | EXPONENTIAL RISK AVOIDANCE MODELS | authKW | 256928 | 1% | 100% | 3 |
| 5 | VISUAL PATTERN RECOGNITION | authKW | 247740 | 2% | 32% | 9 |
| 6 | MICROPOPULATION MODEL | authKW | 192695 | 1% | 75% | 3 |
| 7 | MNIST DATABASE | authKW | 192695 | 1% | 75% | 3 |
| 8 | ECOLOGICAL THEORY OF PERCEPTION | authKW | 171286 | 1% | 100% | 2 |
| 9 | INTERPOLATING VECTOR | authKW | 171286 | 1% | 100% | 2 |
| 10 | MICRODEVICE ASSEMBLY | authKW | 171286 | 1% | 100% | 2 |
Web of Science journal categories |
| chi_square_rank | Category | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|
| 1 | Computer Science, Artificial Intelligence | 13567 | 50% | 0% | 185 |
| 2 | Computer Science, Cybernetics | 1726 | 7% | 0% | 24 |
| 3 | Computer Science, Theory & Methods | 702 | 13% | 0% | 46 |
| 4 | Engineering, Electrical & Electronic | 582 | 25% | 0% | 92 |
| 5 | Medical Informatics | 540 | 5% | 0% | 18 |
| 6 | Computer Science, Interdisciplinary Applications | 380 | 9% | 0% | 34 |
| 7 | Neurosciences | 229 | 17% | 0% | 61 |
| 8 | Computer Science, Information Systems | 228 | 7% | 0% | 26 |
| 9 | Engineering, Biomedical | 110 | 5% | 0% | 18 |
| 10 | Computer Science, Software Engineering | 77 | 4% | 0% | 14 |
Address terms |
| chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|
| 1 | MICROMECH MECHATRON | 171286 | 1% | 100% | 2 |
| 2 | BIOMED SIGNAL PROCBIOELECT | 85643 | 0% | 100% | 1 |
| 3 | BRAIN SCI STR | 85643 | 0% | 100% | 1 |
| 4 | COMP TECHNOL INFORMAT | 85643 | 0% | 100% | 1 |
| 5 | EEPIS | 85643 | 0% | 100% | 1 |
| 6 | HVS | 85643 | 0% | 100% | 1 |
| 7 | MUS MEDIAARTS | 85643 | 0% | 100% | 1 |
| 8 | PROD SYS ENG | 85643 | 0% | 100% | 1 |
| 9 | STAT COM SCI | 85643 | 0% | 100% | 1 |
| 10 | PL SCI TECHNOL DEV | 62279 | 1% | 18% | 4 |
Journals |
| chi_square_rank | term | chi_square | shrOfCwithTerm | shrOfTermInClass | termInClass |
|---|---|---|---|---|---|
| 1 | NEURAL NETWORKS | 32472 | 10% | 1% | 35 |
| 2 | INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING | 20696 | 4% | 2% | 14 |
| 3 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 17069 | 7% | 1% | 24 |
| 4 | NEUROCOMPUTING | 6540 | 8% | 0% | 28 |
| 5 | BIOLOGICAL CYBERNETICS | 4746 | 4% | 0% | 13 |
| 6 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 4724 | 2% | 1% | 6 |
| 7 | PATTERN RECOGNITION LETTERS | 3679 | 4% | 0% | 16 |
| 8 | NEURAL PROCESSING LETTERS | 2961 | 2% | 1% | 6 |
| 9 | NEURAL NETWORK WORLD | 2800 | 1% | 1% | 4 |
| 10 | SYSTEMS AND COMPUTERS IN JAPAN | 2433 | 1% | 1% | 3 |
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. |
Classes with closest relation at Level 1 |