Class information for: |
Basic class information |
ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
---|---|---|---|
15803 | 622 | 21.2 | 42% |
Classes in level above (level 2) |
ID, lev. above |
Publications | Label for level above |
---|---|---|
629 | 13118 | NEURAL NETWORKS//IEEE TRANSACTIONS ON NEURAL NETWORKS//EXTREME LEARNING MACHINE |
Terms with highest relevance score |
Rank | Term | Type of term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|---|
1 | SIGMOIDAL FUNCTIONS | Author keyword | 13 | 67% | 2% | 12 |
2 | COMMUN COMP SYST SCI DIST | Address | 9 | 38% | 3% | 20 |
3 | RIDGE FUNCTION | Author keyword | 8 | 56% | 2% | 10 |
4 | REGULAR FUZZY NEURAL NETWORKS | Author keyword | 8 | 100% | 1% | 5 |
5 | SIGMOIDAL FUNCTION | Author keyword | 7 | 37% | 2% | 15 |
6 | GOOD SET | Author keyword | 6 | 71% | 1% | 5 |
7 | SUBOPTIMAL SOLUTIONS | Author keyword | 6 | 50% | 1% | 9 |
8 | UNIVERSAL APPROXIMATION CAPABILITIES | Author keyword | 6 | 100% | 1% | 4 |
9 | ALGEBRA OVER ALGORITHMS | Author keyword | 4 | 75% | 0% | 3 |
10 | POLYGONAL FUZZY NUMBERS | Author keyword | 4 | 75% | 0% | 3 |
Web of Science journal categories |
Author Key Words |
Key Words Plus |
Rank | Web of Science journal category | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|
1 | HIDDEN LAYER | 36 | 83% | 3% | 20 |
2 | ONE HIDDEN LAYER | 26 | 100% | 2% | 11 |
3 | MULTILAYER FEEDFORWARD NETWORKS | 18 | 16% | 17% | 106 |
4 | UNIVERSAL APPROXIMATION | 17 | 29% | 8% | 49 |
5 | RIDGE FUNCTIONS | 13 | 67% | 2% | 12 |
6 | EXTENDED RITZ METHOD | 12 | 86% | 1% | 6 |
7 | SIGMOIDAL FUNCTIONS | 11 | 100% | 1% | 6 |
8 | VARIABLE BASIS | 11 | 100% | 1% | 6 |
9 | NEURAL NETWORK APPROXIMATION | 8 | 70% | 1% | 7 |
10 | SIGMOID FUNCTION | 7 | 38% | 2% | 15 |
Journals |
Reviews |
Title | Publ. year | Cit. | Active references |
% act. ref. to same field |
---|---|---|---|---|
Deterministic learning and an application in optimal control | 2006 | 0 | 22 | 23% |
Address terms |
Rank | Address term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|
1 | COMMUN COMP SYST SCI DIST | 9 | 38% | 3.2% | 20 |
2 | METROL COMPUTAT SCI | 2 | 29% | 1.1% | 7 |
3 | PL EPISTEMOL | 2 | 44% | 0.6% | 4 |
4 | DIPARTIMENTO INGN SISTEMI INFORMAT | 1 | 50% | 0.3% | 2 |
5 | MATH DIMA | 1 | 40% | 0.3% | 2 |
6 | IST SISTEMI INTELLIGENTI AUTOMAZ | 1 | 25% | 0.5% | 3 |
7 | INTELLIGENT MFG SEMICOND | 1 | 50% | 0.2% | 1 |
8 | INTELLIGENT SYST AUTOMAT ISSIA CNR | 1 | 50% | 0.2% | 1 |
9 | TECHNOL INFORMAT ECON | 1 | 50% | 0.2% | 1 |
10 | PROD ENGN THERMOENERGET MATH MODELS DIPTEM | 1 | 25% | 0.3% | 2 |
Related classes at same level (level 1) |
Rank | Relatedness score | Related classes |
---|---|---|
1 | 0.0000242772 | ONLINE GRADIENT METHOD//FEEDFORWARD NEURAL NETWORKS//MAPPING SENSITIVITY |
2 | 0.0000161403 | EXTREME LEARNING MACHINE//EXTREME LEARNING MACHINE ELM//OS ELM |
3 | 0.0000150580 | SPLINE NEURAL NETWORKS//TRAINING TRAJECTORY//ADAPTIVE ACTIVATION FUNCTIONS |
4 | 0.0000116577 | LINEAR IN THE PARAMETERS MODEL//FORWARD REGRESSION//COMP ARCHITECTURE COMP TECHNOL |
5 | 0.0000104609 | QUASI GREEDY BASIS//BEST M TERM APPROXIMATION//GREEDY BASES |
6 | 0.0000100813 | LEHRSTUHL MATH INFORMAT//DIRKSEN//ROOTS SEPARATION |
7 | 0.0000096651 | COEFFICIENT REGULARIZATION//SAMPLE COMPRESSION//LEARNING THEORY |
8 | 0.0000095638 | IRREGULAR BOUNDARIES//DIFFERENTIAL EQUATION COMPOSITION//MULTI PARAMETRIC FUNCTION APPROXIMATION |
9 | 0.0000091956 | ARTIFICIAL NEURAL NETWORKS//INTELLIGENT INFORMAT SYST//INTELLIGENT PROC |
10 | 0.0000082917 | SECCIO INTELLIGENCIA ARTIFICIAL//INTEGRATED SENSORY INTELLIGENT SYSTEM//ALTANA CHAIR BIOINFORMAT INFORMAT MIN |