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Volumn 17, Issue 3, 2008, Pages 297-309

Designing a decompositional rule extraction algorithm for neural networks with bound decomposition tree

Author keywords

Boolean rule; Neural network; Rule extraction

Indexed keywords


EID: 42549132508     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-007-0115-9     Document Type: Article
Times cited : (5)

References (37)
  • 1
    • 0032208720 scopus 로고
    • The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
    • 6
    • Tickle AB, Andrews R, Golea M, Diederich J (1968) The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. IEEE Trans Neural Netw 9(6):1057-1068
    • (1968) IEEE Trans Neural Netw , vol.9 , pp. 1057-1068
    • Tickle, A.B.1    Andrews, R.2    Golea, M.3    Diederich, J.4
  • 2
    • 0035127989 scopus 로고    scopus 로고
    • Symbolic knowledge extraction from trained neural networks: A sound approach
    • d'Avila Garcez AS, Broda K, Gabbay DM (2001) Symbolic knowledge extraction from trained neural networks: a sound approach. Artif Intell 125:155-207
    • (2001) Artif Intell , vol.125 , pp. 155-207
    • D'Avila Garcez, A.S.1    Broda, K.2    Gabbay, D.M.3
  • 4
    • 0027678679 scopus 로고
    • The extraction of refined rules from knowledge-based neural networks
    • Towell GG, Shavlik JW (1993) The extraction of refined rules from knowledge-based neural networks. Mach Learn 13:71-101
    • (1993) Mach Learn , vol.13 , pp. 71-101
    • Towell, G.G.1    Shavlik, J.W.2
  • 5
    • 0028529307 scopus 로고
    • Knowledge-based artificial neural networks
    • Towell GG, Shavlik JW (1994) Knowledge-based artificial neural networks. Artif Intell 70:119-165
    • (1994) Artif Intell , vol.70 , pp. 119-165
    • Towell, G.G.1    Shavlik, J.W.2
  • 6
    • 0033742671 scopus 로고    scopus 로고
    • Extracting rules from trained neural networks
    • 2
    • Tsukimoto H (2000) Extracting rules from trained neural networks. IEEE Trans Neural Netw 11(2):377-389
    • (2000) IEEE Trans Neural Netw , vol.11 , pp. 377-389
    • Tsukimoto, H.1
  • 8
    • 0028482883 scopus 로고
    • Rule generation from neural networks
    • 8
    • Fu LM (1994) Rule generation from neural networks. IEEE Trans Syst Man Cybern 28(8):1114-1124
    • (1994) IEEE Trans Syst Man Cybern , vol.28 , pp. 1114-1124
    • Fu, L.M.1
  • 12
    • 0029484103 scopus 로고
    • Survey and critique of techniques for extracting rules from trained artificial neural networks
    • 6
    • Andrews R, Diederich J, Tickle AB (1995) Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowl Base Syst 8(6):373-389
    • (1995) Knowl Base Syst , vol.8 , pp. 373-389
    • Andrews, R.1    Diederich, J.2    Tickle, A.B.3
  • 14
    • 0036707194 scopus 로고    scopus 로고
    • Rule extraction from local cluster neural nets
    • Andrews R, Geva S (2002) Rule extraction from local cluster neural nets. Neuro Comput 47:1-20
    • (2002) Neuro Comput , vol.47 , pp. 1-20
    • Andrews, R.1    Geva, S.2
  • 15
    • 0030633575 scopus 로고    scopus 로고
    • A penalty function approach for pruning feedforward neural networks
    • 1
    • Setiono R (1997) A penalty function approach for pruning feedforward neural networks. Neural Comput 9(1):185-204
    • (1997) Neural Comput , vol.9 , pp. 185-204
    • Setiono, R.1
  • 16
    • 0030631792 scopus 로고    scopus 로고
    • Extracting rules from neural networks by pruning and hidden-unit splitting
    • 1
    • Setiono R (1997) Extracting rules from neural networks by pruning and hidden-unit splitting. Neural Comput 9(1):205-225
    • (1997) Neural Comput , vol.9 , pp. 205-225
    • Setiono, R.1
  • 19
    • 42549114969 scopus 로고    scopus 로고
    • Naturopathic association. Chinese edn. Ye-He Publishing
    • Naturopathic association (1999) Naturopathy of coronary artery disease. Chinese edn. Ye-He Publishing
    • (1999) Naturopathy of Coronary Artery Disease
  • 22
    • 33745952587 scopus 로고    scopus 로고
    • Advanced process control expert system of CVD membrane thickness based on neural network
    • 313-318
    • Chang M, Chen JC, Chang JW, Heh JS (2006) Advanced process control expert system of CVD membrane thickness based on neural network. Material Science Forum, pp 505-507, 313-318
    • (2006) Material Science Forum , pp. 505-507
    • Chang, M.1    Chen, J.C.2    Chang, J.W.3    Heh, J.S.4
  • 23
    • 0033097962 scopus 로고    scopus 로고
    • A search technique for rule extraction from trained neural networks
    • Krishnan R, Sivakumar G, Bhattacharya P (1999) A search technique for rule extraction from trained neural networks. Pattern Recognit Lett 20:273-280
    • (1999) Pattern Recognit Lett , vol.20 , pp. 273-280
    • Krishnan, R.1    Sivakumar, G.2    Bhattacharya, P.3
  • 24
    • 0032685184 scopus 로고    scopus 로고
    • Symbolic interpretation of artificial neural networks
    • 3
    • Taha IA, Ghosh J (1999) Symbolic interpretation of artificial neural networks. IEEE Trans Knowl Data Eng 11(3):448-463
    • (1999) IEEE Trans Knowl Data Eng , vol.11 , pp. 448-463
    • Taha, I.A.1    Ghosh, J.2
  • 25
    • 33745934873 scopus 로고    scopus 로고
    • Designing a decompositional rule extraction algorithm for neural networks
    • Chen JC, Heh JS, Chang M (2006) Designing A Decompositional Rule Extraction Algorithm for Neural Networks. Lect Notes Comput Sci 3971:1305-1311
    • (2006) Lect Notes Comput Sci , vol.3971 , pp. 1305-1311
    • Chen, J.C.1    Heh, J.S.2    Chang, M.3
  • 26
    • 33745953595 scopus 로고    scopus 로고
    • The control of membrane thickness in Pecvd process utilizing a rule extraction technique of neural networks
    • Chang M, Chen JC, Heh J (2006) The control of membrane thickness in Pecvd process utilizing a rule extraction technique of neural networks. Lect Notes Comput Sci 3973:1091-1098
    • (2006) Lect Notes Comput Sci , vol.3973 , pp. 1091-1098
    • Chang, M.1    Chen, J.C.2    Heh, J.3
  • 28
    • 0021892282 scopus 로고
    • Fuzzy identification of system and its applications to modeling and control
    • 0
    • Takagi T, Sugeno M (1985) Fuzzy identification of system and its applications to modeling and control. IEEE Trans Syst Man Cybern 15(0):116-132
    • (1985) IEEE Trans Sys Man Cybern , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 29
    • 0027266182 scopus 로고
    • Functional equivalence between radial basis function networks and fuzzy inference systems
    • Roger Jang JS, Sun CT (1993) Functional equivalence between radial basis function networks and fuzzy inference systems. IEEE Trans Neural Netw 4:156-158
    • (1993) IEEE Trans Neural Netw , vol.4 , pp. 156-158
    • Roger Jang, J.S.1    Sun, C.T.2
  • 30
    • 11244351634 scopus 로고    scopus 로고
    • An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
    • Leng G, McGinnity TM, Prasad G (2005) An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network. Fuzzy Sets Syst 150:211-243
    • (2005) Fuzzy Sets Syst , vol.150 , pp. 211-243
    • Leng, G.1    Prasad, G.2
  • 33
    • 2442602088 scopus 로고    scopus 로고
    • Castellano G, Fanelli AM, Mencar C (2005) A neuro-fuzzy network to generate human-understandable knowledge from data
    • Castellano G, Fanelli AM, Mencar C (2005) A neuro-fuzzy network to generate human-understandable knowledge from data. Cogn Syst Res 3:125-144
    • (2005) Cogn Syst Res , vol.3 , pp. 125-144
    • Castellano, G.1    Fanelli, A.M.2    Mencar, C.3
  • 34
    • 28344446197 scopus 로고    scopus 로고
    • Rule extraction from Kohonen neural networks
    • 1
    • Malone J, McGarry KJ, Bowerman C, Wermter S (2006) Rule extraction from Kohonen neural networks. Neural Comput Appl J 15(1):9-17
    • (2006) Neural Comput Appl J , vol.15 , pp. 9-17
    • Malone, J.1    Bowerman, C.2    Wermter, S.3
  • 35
    • 42549154984 scopus 로고
    • Congressional Quarterly Almanac, 98th Congress, 2nd session 1984 Congressional Quarterly Inc., Washington, DC
    • Jeff Schlimmer (1984) United States congressional voting records database, Congressional Quarterly Almanac, 98th Congress, 2nd session 1984, vol XL. Congressional Quarterly Inc., Washington, DC
    • (1984) United States Congressional Voting Records Database , vol.40
    • Schlimmer, J.1
  • 36
    • 0004161512 scopus 로고
    • Doctoral dissertation. Department of Information and Computer Science, University of California, Irvine
    • Jeff Schlimmer (1987) Concept acquisition through representational adjustment, Doctoral dissertation. Department of Information and Computer Science, University of California, Irvine
    • (1987) Concept Acquisition Through Representational Adjustment
    • Schlimmer, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.