{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T17:00:10Z","timestamp":1768582810300,"version":"3.49.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2012,6,13]],"date-time":"2012-06-13T00:00:00Z","timestamp":1339545600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2013,9]]},"DOI":"10.1007\/s00521-012-0987-1","type":"journal-article","created":{"date-parts":[[2012,6,12]],"date-time":"2012-06-12T02:11:13Z","timestamp":1339467073000},"page":"741-749","source":"Crossref","is-referenced-by-count":5,"title":["Programming squat wall strengths and tuning associated codes with pruned modular neural network"],"prefix":"10.1007","volume":"23","author":[{"given":"Hsing-Chih","family":"Tsai","sequence":"first","affiliation":[]},{"given":"Yun-Wu","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yaw-Yauan","family":"Tyan","sequence":"additional","affiliation":[]},{"given":"Yong-Huang","family":"Lin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,6,13]]},"reference":[{"key":"987_CR1","unstructured":"Yaprak H, Karaci, A, Demir, I (2011) Prediction of the effect of varying cure conditions and w\/c ratio on the compressive strength of concrete using artificial neural networks. Neural Comput Appl 1\u20139"},{"key":"987_CR2","unstructured":"Sezer A (2011) Simple models for the estimation of shearing resistance angle of uniform sands. Neural Comput Appl 1\u201313"},{"issue":"8","key":"987_CR3","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1007\/s00521-010-0360-1","volume":"19","author":"NB Dash","year":"2010","unstructured":"Dash NB, Panda SN, Remesan R, Sahoo N (2010) Hybrid neural modeling for groundwater level prediction. Neural Comput Appl 19(8):1251\u20131263","journal-title":"Neural Comput Appl"},{"key":"987_CR4","unstructured":"Nazari A, Khalaj G, Riahi S (2011) ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk-bark ash. Neural Comput Appl 1\u201313"},{"key":"987_CR5","doi-asserted-by":"crossref","unstructured":"Nazari A, Riahi S (2011) Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes. Neural Comput Appl","DOI":"10.1007\/s00521-011-0760-x"},{"key":"987_CR6","doi-asserted-by":"crossref","unstructured":"Nazari A (2011) Application of artificial neural networks for analytical modeling of Charpy impact energy of functionally graded steels. Neural Comput Appl","DOI":"10.1007\/s00521-011-0761-9"},{"key":"987_CR7","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.compositesb.2010.12.004","volume":"42","author":"A Nazari","year":"2011","unstructured":"Nazari A, Riahi S (2011) Prediction split tensile strength and water permeability of high strength concrete containing TiO2 nanoparticles by artificial neural network and genetic programming. Compos B 42:473\u2013488","journal-title":"Compos B"},{"key":"987_CR8","volume-title":"Introduction to artificial neural systems","author":"JM Zurada","year":"1992","unstructured":"Zurada JM (1992) Introduction to artificial neural systems. West Publishing Company, St. Paul"},{"issue":"6","key":"987_CR9","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1016\/j.patrec.2004.09.029","volume":"26","author":"E Artyomov","year":"2005","unstructured":"Artyomov E, Yadid-Pecht O (2005) Modified high-order neural network for invariant pattern recognition. Pattern Recognit Lett 26(6):843\u2013851","journal-title":"Pattern Recognit Lett"},{"issue":"2","key":"987_CR10","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1109\/TSMCB.2003.818538","volume":"34","author":"GL Foresti","year":"2004","unstructured":"Foresti GL, Dolso T (2004) An adaptive high-order neural tree for pattern recognition. IEEE Trans Syst Man Cybern B Cybern 34(2):988\u2013996","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"issue":"1","key":"987_CR11","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1109\/TSMCB.2003.811767","volume":"34","author":"GA Rovithakis","year":"2004","unstructured":"Rovithakis GA, Chalkiadakis I, Zervakis ME (2004) High-order neural network structure selection for function approximation applications using genetic algorithms. IEEE Trans Syst Man Cybern B Cybern 34(1):150\u2013158","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"987_CR12","unstructured":"Wang JH, Lin JH (1995) Qualitative analysis of the BP composed of product units and summing units. In: Proceedings of the IEEE international conference on systems, man and cybernetics, vol 1, pp 35\u201339"},{"key":"987_CR13","doi-asserted-by":"crossref","unstructured":"Abdelbar A, Tagliarini G (1996) HONEST: a new high order feedforward neural network. In: IEEE international conference on neural networks\u2014conference proceedings, vol 2, pp 1257\u20131262","DOI":"10.1109\/ICNN.1996.549078"},{"key":"987_CR14","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1016\/j.asoc.2008.11.007","volume":"9","author":"HC Tsai","year":"2009","unstructured":"Tsai HC (2009) Hybrid high order neural networks. Appl Soft Comput 9:874\u2013881","journal-title":"Appl Soft Comput"},{"key":"987_CR15","unstructured":"Eberhart RC, Kennedy J (1995) A new optimizer using particles swarm theory. In: The sixth international symposium on micro machine and human science, pp 39\u201343"},{"key":"987_CR16","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","volume":"4","author":"RC Eberhart","year":"1995","unstructured":"Eberhart RC, Kennedy J (1995) Particle swarm optimization. IEEE Int Conf Neural Netw 4:1942\u20131948","journal-title":"IEEE Int Conf Neural Netw"},{"key":"987_CR17","unstructured":"Parsopoulos KE, Vrahatis MN (2004) UPSO: a unified particle swarm optimization scheme. In: Proceedings of the international conference of computational methods in sciences and engineering, ICCMSE 2004. Lecture series on computer and computational sciences, vol 1, pp 868\u2013873"},{"issue":"4\u20136","key":"987_CR18","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1016\/j.neucom.2006.10.002","volume":"70","author":"Y Liu","year":"2007","unstructured":"Liu Y, Qin Z, Shi Z, Lu J (2007) Center particle swarm optimization. Neurocomputing 70(4\u20136):672\u2013679","journal-title":"Neurocomputing"},{"issue":"1\u20132","key":"987_CR19","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.mcm.2006.12.019","volume":"46","author":"KE Parsopoulos","year":"2007","unstructured":"Parsopoulos KE, Vrahatis MN (2007) Parameter selection and adaptation in unified particle swarm optimization. Math Comput Model 46(1\u20132):198\u2013213","journal-title":"Math Comput Model"},{"key":"987_CR20","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1016\/j.amc.2006.07.025","volume":"185","author":"JR Zhang","year":"2007","unstructured":"Zhang JR, Zhang J, Lok TM, Lyu MR (2007) A hybrid particle swarm optimization algorithm for feedforward neural network training. Appl Math Comput 185:1026\u20131037","journal-title":"Appl Math Comput"},{"issue":"2","key":"987_CR21","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1016\/j.eswa.2009.06.093","volume":"37","author":"HC Tsai","year":"2010","unstructured":"Tsai HC (2010) Predicting strengths of concrete-type specimens using hybrid multilayer perceptrons with center-unified particle swarm optimization. Expert Syst Appl 37(2):1104\u20131112","journal-title":"Expert Syst Appl"},{"issue":"5","key":"987_CR22","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1109\/72.248452","volume":"4","author":"R Reed","year":"1993","unstructured":"Reed R (1993) Pruning algorithms\u2014a survey. IEEE Trans Neural Netw 4(5):740\u2013747","journal-title":"IEEE Trans Neural Netw"},{"key":"987_CR23","doi-asserted-by":"crossref","unstructured":"Tu J, Zhan Y, Han F (2010) A neural network pruning method optimized with PSO algorithm. In: ICCMS 2010\u20142010 international conference on computer modeling and simulation, vol 3, pp 257\u2013259","DOI":"10.1109\/ICCMS.2010.424"},{"key":"987_CR24","doi-asserted-by":"crossref","unstructured":"Eberhart RC, Shi Y (2000) Comparing inertia weights and constriction factors in particle swarm optimization, In: Procedings of 2000 IEEE CEC, IEEE Service center, Piscataway, NJ, pp 84\u201388","DOI":"10.1109\/CEC.2000.870279"},{"issue":"1","key":"987_CR25","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1061\/(ASCE)0733-9445(2001)127:1(43)","volume":"127","author":"SJ Hwang","year":"2001","unstructured":"Hwang SJ, Fang WH, Lee HJ, Yu HW (2001) Analytical model for predicting shear strength of squat walls. J Struct Eng 127(1):43\u201350","journal-title":"J Struct Eng"},{"issue":"1","key":"987_CR26","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.eswa.2010.06.034","volume":"38","author":"HC Tsai","year":"2011","unstructured":"Tsai HC (2011) Weighted operation structures to program strengths of concrete-typed specimens using genetic algorithm. Expert Syst Appl 38(1):161\u2013168","journal-title":"Expert Syst Appl"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0987-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-012-0987-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0987-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T22:34:21Z","timestamp":1743374061000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-012-0987-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,6,13]]},"references-count":26,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2013,9]]}},"alternative-id":["987"],"URL":"https:\/\/doi.org\/10.1007\/s00521-012-0987-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,6,13]]}}}