{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T13:45:12Z","timestamp":1649166312680},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2008,3,11]],"date-time":"2008-03-11T00:00:00Z","timestamp":1205193600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"published-print":{"date-parts":[[2008,6]]},"DOI":"10.1007\/s10846-008-9214-9","type":"journal-article","created":{"date-parts":[[2008,3,10]],"date-time":"2008-03-10T05:05:19Z","timestamp":1205125519000},"page":"285-312","source":"Crossref","is-referenced-by-count":0,"title":["Supervised and Reinforcement Evolutionary Learning for Wavelet-based Neuro-fuzzy Networks"],"prefix":"10.1007","volume":"52","author":[{"given":"Cheng-Jian","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong-Cheng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chi-Yung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2008,3,11]]},"reference":[{"key":"9214_CR1","volume-title":"Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent System","author":"C.T. Lin","year":"1996","unstructured":"Lin, C.T., Lee, C.S.G.: Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent System. Prentice-Hall, New Jersey (1996)"},{"key":"9214_CR2","first-page":"71","volume":"13","author":"G.G. Towell","year":"1993","unstructured":"Towell, G.G., Shavlik, J.W.: Extracting refined rules from knowledge-based neural networks. Mach. Learn. 13, 71\u2013101 (1993)","journal-title":"Mach. Learn."},{"issue":"4","key":"9214_CR3","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1109\/91.649900","volume":"5","author":"C.J. Lin","year":"1997","unstructured":"Lin, C.J., Lin, C.T.: An ART-based fuzzy adaptive learning control network. IEEE Trans. Fuzzy Syst. 5, (4), 477\u2013496 (1997) (Nov)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"6","key":"9214_CR4","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1109\/21.199466","volume":"22","author":"L.X. Wang","year":"1992","unstructured":"Wang, L.X., Mendel, J.M.: Generating fuzzy rules by learning from examples. IEEE Trans. Syst. Man Cybern. 22, (6), 1414\u20131427 (1992) (Nov\/Dec)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"9214_CR5","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"SMC-15","author":"T. Takagi","year":"1985","unstructured":"Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. SMC-15, 116\u2013132 (1985)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"9214_CR6","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"J.S.R. Jang","year":"1993","unstructured":"Jang, J.S.R.: ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23, 665\u2013685 (1993)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"5","key":"9214_CR7","doi-asserted-by":"crossref","first-page":"2144","DOI":"10.1109\/TSMCB.2004.833330","volume":"34","author":"C.J. Lin","year":"2004","unstructured":"Lin, C.J., Chin, C.C.: Prediction and identification using wavelet-based recurrent fuzzy neural networks. IEEE Trans. Syst. Man Cybern. B 34, (5), 2144\u20132154 (2004) (Oct)","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"issue":"5","key":"9214_CR8","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1109\/91.963761","volume":"9","author":"F.J. Lin","year":"2001","unstructured":"Lin, F.J., Lin, C.H., Shen, P.H.: Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive. IEEE Trans. Fuzzy Syst. 9, (5), 751\u2013759 (2001) (Oct)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"5","key":"9214_CR9","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1109\/72.159063","volume":"3","author":"H. Takagi","year":"1992","unstructured":"Takagi, H., Suzuki, N., Koda, T., Kojima, Y.: Neural networks designed on approximate reasoning architecture and their application. IEEE Trans. Neural Netw. 3, (5), 752\u2013759 (1992)","journal-title":"IEEE Trans. Neural Netw."},{"key":"9214_CR10","doi-asserted-by":"crossref","unstructured":"Mizutani, E., Jang, J.-S.R.: Coactive neural fuzzy modeling. In: Proc. Int. Conf. Neural Netw., pp. 760\u2013765 (1995)","DOI":"10.1109\/ICNN.1995.487513"},{"issue":"5","key":"9214_CR11","doi-asserted-by":"crossref","first-page":"2144","DOI":"10.1109\/TSMCB.2004.833330","volume":"34","author":"C.J. Lin","year":"2004","unstructured":"Lin, C.J., Chin, C.C.: Prediction and identification using wavelet-based recurrent fuzzy neural networks. IEEE Trans. Syst. Man Cybern. B 34, (5), 2144\u20132154 (2004) (Oct)","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"issue":"2","key":"9214_CR12","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1109\/91.995118","volume":"10","author":"C.F. Juang","year":"2002","unstructured":"Juang, C.F.: A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms. IEEE Trans. Fuzzy Syst. 10, (2), 155\u2013170 (2002) (Apr)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9214_CR13","doi-asserted-by":"crossref","unstructured":"Karr, C.L.: Design of an adaptive fuzzy logic controller using a genetic algorithm. In: Proc. 4th Conf. Genetic Algorithms, pp. 450\u2013457 (1991)","DOI":"10.1117\/12.45446"},{"issue":"9","key":"9214_CR14","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/91.388168","volume":"3","author":"A. Homaifar","year":"1995","unstructured":"Homaifar, A., McCormick, E.: Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms. IEEE Trans. Fuzzy Syst. 3, (9), 129\u2013139 (1995) (May)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9214_CR15","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1109\/FUZZY.1993.327418","volume":"1","author":"M.A. Lee","year":"1993","unstructured":"Lee, M.A., Takagi, H.: Integrating design stages of fuzzy systems using genetic algorithms. Proc. IEEE Int. Conf. Fuzzy Syst. 1, 612\u2013617 (1993) (Apr)","journal-title":"Proc. IEEE Int. Conf. Fuzzy Syst."},{"issue":"2","key":"9214_CR16","first-page":"276","volume":"30","author":"C.T. Lin","year":"2000","unstructured":"Lin, C.T., Jou, C.P.: GA-based fuzzy reinforcement learning for control of a magnetic bearing system. IEEE Trans. Syst. Man Cybern. B 30, (2), 276\u2013289 (2000) (Apr)","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"issue":"2","key":"9214_CR17","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1109\/3477.836377","volume":"30","author":"C.F. Juang","year":"2000","unstructured":"Juang, C.F., Lin, J.Y., Lin, C.T.: Genetic reinforcement learning through symbiotic evolution for fuzzy controller design. IEEE Trans. Syst. Man Cybern. B 30, (2), 290\u2013302 (2000) (Apr)","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"issue":"1","key":"9214_CR18","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1109\/91.917126","volume":"9","author":"D.W.C. Ho","year":"2001","unstructured":"Ho, D.W.C., Zhang, P.A., Xu, J.: Fuzzy wavelet networks for function learning. IEEE Trans. Fuzzy Syst. 9, (1), 200\u2013211 (2001)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9214_CR19","first-page":"11","volume":"22","author":"D.E. Moriarty","year":"1996","unstructured":"Moriarty, D.E., Miikkulainen, R.: Efficient reinforcement learning through symbiotic evolution. Mach. Learn. 22, 11\u201332 (1996)","journal-title":"Mach. Learn."},{"key":"9214_CR20","volume-title":"Neuro-Fuzzy and Soft Computing","author":"J.-S.R. Jang","year":"1997","unstructured":"Jang, J.-S.R., Sun, C.T., Mizutani, E.: Neuro-Fuzzy and Soft Computing. Prentice-Hall, New York (1997) (Ch. 17)"},{"key":"9214_CR21","doi-asserted-by":"crossref","DOI":"10.1142\/4177","volume-title":"Genetic Fuzzy Systems Evolutionary Tuning and Learning Of Fuzzy Knowledge Bases. Advances in Fuzzy Systems \u2013 Applications and Theory","author":"O. Cordon","year":"2001","unstructured":"Cordon, O., Herrera, F., Hoffmann, F., Magdalena, L.: Genetic Fuzzy Systems Evolutionary Tuning and Learning Of Fuzzy Knowledge Bases. Advances in Fuzzy Systems \u2013 Applications and Theory, vol 19World Scientific, New Jersey (2001)"},{"key":"9214_CR22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF00335152","volume":"42","author":"A.G. Barto","year":"1981","unstructured":"Barto, A.G., Sutton, R.S.: Landmark learning: an illustration of associative search. Biol. Cybern. 42, 1\u20138 (1981)","journal-title":"Biol. Cybern."},{"issue":"5","key":"9214_CR23","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TSMC.1983.6313077","volume":"SMC-13","author":"A.G. Barto","year":"1983","unstructured":"Barto, A.G., Sutton, R.S., Anderson, C.W.: Neuron like adaptive elements that can solve difficult learning control problem. IEEE Trans. Syst. Man Cybern. SMC-13, (5), 834\u2013847 (1983)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"9214_CR24","volume-title":"Adaptive Fuzzy Systems and Control","author":"L.X. Wang","year":"1994","unstructured":"Wang, L.X.: Adaptive Fuzzy Systems and Control. Prentice-Hall, Englewood Cliffs, NJ (1994)"},{"issue":"5","key":"9214_CR25","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1109\/21.376496","volume":"25","author":"C.H. Wang","year":"1995","unstructured":"Wang, C.H., Wang, W.Y., Lee, T.T., Tseng, P.S.: Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control. IEEE Trans. Syst. Man Cybern. 25, (5), 841\u2013851 (1995) (May)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"5","key":"9214_CR26","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1109\/72.712150","volume":"9","author":"W.A. Farag","year":"1998","unstructured":"Farag, W.A., Quintana, V.H., Lambert-Torres, G.: A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems. IEEE Trans. Neural Netw. 9, (5), 756\u2013767 (1998) (Sept)","journal-title":"IEEE Trans. Neural Netw."},{"key":"9214_CR27","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1109\/91.273126","volume":"2","author":"C.T. Lin","year":"1994","unstructured":"Lin, C.T., Lee, C.S.G.: Reinforcement structure\/parameter learning for neural-network-based fuzzy logic control systems. IEEE Trans. Fuzzy Syst. 2, 46\u201363 (1994) (Feb)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9214_CR28","volume-title":"Dynamics of Physical Systems","author":"R.H. Cannon Jr.","year":"1967","unstructured":"Cannon Jr., R.H.: Dynamics of Physical Systems. McGraw-Hill, New York (1967)"},{"key":"9214_CR29","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1109\/MCS.1987.1105235","volume":"7","author":"K.C. Cheok","year":"1987","unstructured":"Cheok, K.C., Loh, N.K.: A ball-balancing demonstration of optimal and disturbance-accommodating control. IEEE Contr. Syst. Mag. 7, 54\u201357 (1987)","journal-title":"IEEE Contr. Syst. Mag."},{"key":"9214_CR30","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1023\/A:1022674030396","volume":"13","author":"D. Whitley","year":"1993","unstructured":"Whitley, D., Dominic, S., Das, R., Anderson, C.W.: Genetic reinforcement learning for neuro control problems. Mach. Learn. 13, 259\u2013284 (1993)","journal-title":"Mach. Learn."},{"key":"9214_CR31","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1109\/9.119645","volume":"37","author":"J. Hauser","year":"1992","unstructured":"Hauser, J., Sastry, S., Kokotovic, P.: Nonolinear control via approximate input\u2013output linearization: the ball and beam example. IEEE Trans. Automat. Contr. 37, 392\u2013398 (1992) (Mar)","journal-title":"IEEE Trans. Automat. Contr."},{"issue":"1\u20134","key":"9214_CR32","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0020-0255(01)00144-X","volume":"136","author":"H. Ishibuchi","year":"2001","unstructured":"Ishibuchi, H., Nakashima, T., Murata, T.: Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. 136, (1\u20134), 109\u2013133 (2001)","journal-title":"Inf. Sci."},{"issue":"1","key":"9214_CR33","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.ijar.2006.01.004","volume":"44","author":"H. Ishibuchi","year":"2007","unstructured":"Ishibuchi, H., Nojima, Y.: Analysis of interpretability\u2013accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. Int. J. Approx. Reason. 44, (1), 4\u201331 (2007)","journal-title":"Int. J. Approx. Reason."}],"container-title":["Journal of Intelligent and Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-008-9214-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10846-008-9214-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-008-9214-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T22:19:02Z","timestamp":1559254742000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10846-008-9214-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,3,11]]},"references-count":33,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2008,6]]}},"alternative-id":["9214"],"URL":"https:\/\/doi.org\/10.1007\/s10846-008-9214-9","relation":{},"ISSN":["0921-0296","1573-0409"],"issn-type":[{"value":"0921-0296","type":"print"},{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,3,11]]}}}