{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T19:20:40Z","timestamp":1772133640150,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":41,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811317972","type":"print"},{"value":"9789811317996","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-1799-6_34","type":"book-chapter","created":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T09:03:05Z","timestamp":1565341385000},"page":"323-330","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Studying the Effect of Optimizing Weights in Neural Networks with Meta-Heuristic Techniques"],"prefix":"10.1007","author":[{"given":"Nazri Mohd.","family":"Nawi","sequence":"first","affiliation":[]},{"given":"Abdullah","family":"Khan","sequence":"additional","affiliation":[]},{"given":"M. Z.","family":"Rehman","sequence":"additional","affiliation":[]},{"given":"Rashid","family":"Naseem","sequence":"additional","affiliation":[]},{"given":"Jamal","family":"Uddin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,10]]},"reference":[{"issue":"1","key":"34_CR1","first-page":"1793","volume":"1","author":"Y Radhika","year":"2009","unstructured":"Radhika, Y., Shashi, M.: Atmospheric temperature prediction using support vector machines. Int. J. Comput. Theor. Eng. 1(1), 1793\u20138201 (2009)","journal-title":"Int. J. Comput. Theor. Eng."},{"issue":"14\u201315","key":"34_CR2","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1016\/j.applthermaleng.2004.12.014","volume":"25","author":"MA Akcayol","year":"2005","unstructured":"Akcayol, M.A., Cinar, C.: Artificial neural network based modeling of heated catalytic converter performance. Appl. Therm. Eng. 25(14\u201315), 2341\u20132350 (2005)","journal-title":"Appl. Therm. Eng."},{"key":"34_CR3","unstructured":"Shereef K.I., Baboo, S.S.: A new weather forecasting technique using back propagation neural network with modified Levenberg-Marquardt algorithm for learning. IJCSI Int. J. Comput. Sci.  8(6), 1694\u20130814 (2011) (No. 2)"},{"key":"34_CR4","unstructured":"Kosko, B.: Neural Network and Fuzzy Systems, 1st edn. Prentice Hall of India (1994)"},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Krasnopolsky, V.M., Chevallier, F.: Some neural network application in environmental sciences. Part II: Advancing computational efficiency of environmental numerical models. In: Neural Networks (eds.), vol. 16(3\u20134), pp. 335\u2013348 (2003)","DOI":"10.1016\/S0893-6080(03)00026-1"},{"key":"34_CR6","unstructured":"Coppin, B.: Artificial Intelligence Illuminated, pp. 291\u2013324. Jones and Bartlet Illuminated Series, USA (2004)"},{"issue":"1","key":"34_CR7","doi-asserted-by":"publisher","first-page":"03","DOI":"10.1016\/S0167-7012(00)00201-3","volume":"43","author":"IA Basheer","year":"2000","unstructured":"Basheer, I.A., Hajmeer, M.: Artificial neural networks: fundamentals, computing, design, and application. J. Microbiol. Methods 43(1), 03\u201331 (2000)","journal-title":"J. Microbiol. Methods"},{"key":"34_CR8","unstructured":"Zheng, H., Meng, W., Gong, B.: Neural Network and its Application on Machine fault Diagnosis. In: ICSYSE, pp. 576\u2013579 (1992)"},{"key":"34_CR9","unstructured":"Rehman, M.Z, Nawi, N.M: Improving the accuracy of gradient descent back propagation algorithm (GDAM) on classification problems. Int. J. New Comput. Architectures Appl. (IJNCAA) The Society of Digital Information and Wireless Communication 1(4), 838\u2013847 (2012)"},{"key":"34_CR10","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323, 533\u2013536 (1986)","journal-title":"Nature"},{"issue":"4","key":"34_CR11","first-page":"15","volume":"1","author":"S Lahmiri","year":"2011","unstructured":"Lahmiri, S.: A comparative study of backpropagation algorithms in financial prediction. Int. J. Comput. Sci. Eng. Appl. (IJCSEA) 1(4), 15\u201321 (2011)","journal-title":"Int. J. Comput. Sci. Eng. Appl. (IJCSEA)"},{"key":"34_CR12","unstructured":"Nawi, M.N. Ransing, R.S, Abdul Hamid, N.: BPGD-AG: a new improvement of back-propagation neural network learning algorithms with adaptive gain. J. Sci. Technol. 2(2) (2011)"},{"key":"34_CR13","unstructured":"Ahmed, W.A.M., Saad, E.S.M., Aziz, E.S.A.: Modified back propagation algorithm for learning artificial neural networks. In: Proceedings of the Eighteenth National Radio Science Conference (NRSC), pp. 345\u2013352 (2001)"},{"key":"34_CR14","unstructured":"Wen, J., Zhao, J.L., Luo, S.W., Han, Z.: The improvements of BP neural network learning algorithm. In: Proceedings of the 5th International Conference on Signal Processing WCCC-ICSP, vol. 3, pp. 1647\u20131649 (2000)"},{"issue":"2","key":"34_CR15","first-page":"235","volume":"5","author":"S Lahmiri","year":"2012","unstructured":"Lahmiri, S.: Wavelet transform, neural networks and the prediction of s & p price index: a comparative paper of back propagation numerical algorithms. Bus. Intell. J. 5(2), 235 (2012)","journal-title":"Bus. Intell. J."},{"key":"34_CR16","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-642-17622-7_18","volume-title":"Database Theory and Application, Bio-Science and Bio-Technology","author":"Nazri Mohd Nawi","year":"2010","unstructured":"Nawi, N.M., Ransing, R.S., Salleh, M.N.M., Ghazali, R., Hamid, N.A.: An improved back propagation neural network algorithm on classification problems. In: Communications in Computer and Information Science, vol. 118 CCIS, pp. 177\u2013188 (2010)"},{"key":"34_CR17","first-page":"679","volume":"27","author":"JND Gupta","year":"1999","unstructured":"Gupta, J.N.D., Sexton, R.S.: Comparing back propagation with a genetic algorithm for neural network training. Int. J. Manage. Sci. 27, 679\u2013684 (1999)","journal-title":"Int. J. Manage. Sci."},{"key":"34_CR18","doi-asserted-by":"crossref","unstructured":"Nawi, N.M., Ghazali, R., Salleh, M.N.M.: The development of improved back-propagation neural networks algorithm for predicting patients with heart disease. In: LNCS, vol. 6377, no. 4, pp. 317\u2013324 (2010)","DOI":"10.1007\/978-3-642-16167-4_41"},{"key":"34_CR19","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1109\/72.572119","volume":"8","author":"JYF Yam","year":"1997","unstructured":"Yam, J.Y.F., Chow, T.W.S.: Extended least squares based algorithm for training feed forward networks. IEEE Trans. Neural Netw. 8, 806\u2013810 (1997)","journal-title":"IEEE Trans. Neural Netw."},{"key":"34_CR20","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/S0925-2312(99)00127-7","volume":"30","author":"JYF Yam","year":"2000","unstructured":"Yam, J.Y.F., Chow, T.W.S.: A weight initialization method for improving training speed in feed forward neural networks. Neurocomputing 30, 219\u2013232 (2000)","journal-title":"Neurocomputing"},{"key":"34_CR21","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1109\/72.914538","volume":"12","author":"JYF Yam","year":"2001","unstructured":"Yam, J.Y.F., Chow, T.W.S.: Feed forward networks training speed enhancement by optimal initialization of the synaptic coefficients. IEEE Trans. Neural Netw. 12, 430\u2013434 (2001)","journal-title":"IEEE Trans. Neural Netw."},{"key":"34_CR22","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1109\/72.623214","volume":"8","author":"TY Kwok","year":"1997","unstructured":"Kwok, T.Y., Yeung, D.Y.: Objective functions for training new hidden units in constructive neural networks. IEEE Trans. Neural Netw. 8, 1131\u20131147 (1997)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"2","key":"34_CR23","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1016\/j.amc.2006.07.025","volume":"185","author":"Jing-Ru Zhang","year":"2007","unstructured":"Zhang, J. R., Zhang, J., Lok, T., Lyu, M.: A hybrid particle swarm optimization back propagation algorithm for feed forward neural network training. Appl. Math. Comput. 185(5), 1026\u20131037 (ELSEVIER) (2007)","journal-title":"Applied Mathematics and Computation"},{"key":"34_CR24","doi-asserted-by":"crossref","unstructured":"Shah, H., Ghazali, R., Nawi, N.M., Deris, M.M.: Global hybrid ant bee colony algorithm for training artificial neural networks. LNCS, vol. 7333, no. 1, Pages 87\u2013100 (2012)","DOI":"10.1007\/978-3-642-31125-3_7"},{"issue":"8","key":"34_CR25","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1371\/journal.pone.0136140","volume":"10","author":"H Chiroma","year":"2015","unstructured":"Chiroma, H., Abdul-Kareem, S., Khan, A., Nawi, N.M., Ya\u2019U Gital, A., Shuib, L., AbuBakar, A.I., Rahman, M.Z., Herawan, T.: Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm. PLoS ONE 10(8), 25 (2015)","journal-title":"PLoS ONE"},{"issue":"3","key":"34_CR26","doi-asserted-by":"publisher","first-page":"6915","DOI":"10.4249\/scholarpedia.6915","volume":"5","author":"D Karaboga","year":"2010","unstructured":"Karaboga, D.: Artificial bee colony algorithm. Scholarpedia 5(3), 6915 (2010)","journal-title":"Scholarpedia"},{"issue":"3","key":"34_CR27","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1142\/S0129065793000171","volume":"4","author":"X Yao","year":"1993","unstructured":"Yao, X.: Evolutionary artificial neural networks. Int. J. Neural Syst. 4(3), 203\u2013222 (1993)","journal-title":"Int. J. Neural Syst."},{"key":"34_CR28","unstructured":"Mendes, R., Cortez, P., Rocha, M., Neves, J.: Particle swarm for feedforward neural network training. In: Proceedings of the International Joint Conference on Neural Networks, vol. 2, pp. 1895\u20131899 (2002)"},{"issue":"1","key":"34_CR29","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1023\/A:1022995128597","volume":"17","author":"J Lonen","year":"2003","unstructured":"Lonen, J., Kamarainen, J.I., Lampinen, J.: Differential evolution training algorithm for feed-forward neural networks. J. Neural Process. Lett. 17(1), 93\u2013105 (2003)","journal-title":"J. Neural Process. Lett."},{"key":"34_CR30","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1007\/11759966_105","volume-title":"Advances in Neural Networks - ISNN 2006","author":"Yan-Peng Liu","year":"2006","unstructured":"Liu, Y.-P., M.-G. Wu, et al.: Evolving neural networks using the hybrid of ant colony optimization and BP algorithms. In: Wang, J., Yi, Z., Zurada, J.M., Lu, B.-L., Yin, H. (eds.) Advances in Neural Networks, ISNN 2006, vol. 3971, pp. 714\u2013722. Springer Berlin\/Heidelberg (2006)"},{"key":"34_CR31","doi-asserted-by":"crossref","unstructured":"Khan, A.U., Bandopadhyaya, T.K., Sharma, S.: Comparisons of stock rates prediction accuracy using different technical indicators with back propagation neural network and genetic algorithm based back propagation neural network. In: The Proceedings of the First International Conference on Emerging Trends in Engineering and Technology IEEE Computer Society, Nagpur, India, pp. 575\u2013580 (2008)","DOI":"10.1109\/ICETET.2008.59"},{"key":"34_CR32","doi-asserted-by":"crossref","unstructured":"Yang, X.S., Deb, S.: Cuckoo search via L\u00e9vy flights. In: Proceedings of World Congress on Nature & Biologically Inspired Computing, India, pp. 210\u2013214 (2009)","DOI":"10.1109\/NABIC.2009.5393690"},{"issue":"4","key":"34_CR33","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1504\/IJMMNO.2010.035430","volume":"1","author":"XS Yang","year":"2010","unstructured":"Yang, X.S., Deb, S.: Engineering optimisation by cuckoo search. Int. J. Math. Model. Numer. Optimisation 1(4), 330\u2013343 (2010)","journal-title":"Int. J. Math. Model. Numer. Optimisation"},{"key":"34_CR34","unstructured":"Tuba, M., Subotic, M., Stanarevic, N.: Modified cuckoo search algorithm for unconstrained optimization problems. In: Proceedings of the European Computing Conference, pp. 263\u2013268. Paris, France (2011)"},{"key":"34_CR35","unstructured":"M. Tuba, M. Subotic, and N. Stanarevic Performance of a Modified Cuckoo Search Algorithm for Unconstrained Optimization Problems Faculty of Computer Science Faculty of Computer Science, vol. 11, no. 2, pp. 62\u201374 (2012)"},{"key":"34_CR36","doi-asserted-by":"crossref","unstructured":"Nawi, N.M., Khan, A., Rehman, M.: CSLM: Levenberg Marquardt based Back Propagation Algorithm Optimized with Cuckoo Search (2013)","DOI":"10.1016\/j.protcy.2013.12.157"},{"key":"34_CR37","doi-asserted-by":"crossref","unstructured":"Nawi, N.M., Khan, A., Rehman, M.Z.: A New Optimized Cuckoo Search Recurrent Neural Network (CSRNN) Algorithm. In: The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications, pp. 335\u2013341 (2014)","DOI":"10.1007\/978-981-4585-42-2_39"},{"key":"34_CR38","first-page":"413","volume-title":"Lecture Notes in Computer Science","author":"Nazri Mohd. Nawi","year":"2013","unstructured":"Nawi, N.M., Khan, A., Rehman, M.Z.: A new back-propagation neural network optimized with cuckoo search algorithm. In: Computational Science and Its Applications\u2013ICCSA 2013, pp. 413\u2013426. Springer Berlin Heidelberg (2013)"},{"key":"34_CR39","doi-asserted-by":"crossref","unstructured":"Chaowanawate, K., Heednacram, A.: Implementation of cuckoo search in RBF neural network for flood forecasting. In: Fourth International Conference on Computational Intelligence, Communication Systems and Networks, pp. 22\u201326 (2012)","DOI":"10.1109\/CICSyN.2012.15"},{"issue":"2","key":"34_CR40","doi-asserted-by":"publisher","first-page":"1830","DOI":"10.1016\/j.jcp.2007.06.008","volume":"226","author":"I Pavlyukevich","year":"2007","unstructured":"Pavlyukevich, I.: Levy flights, non-local search and simulated annealing. J. Comput. Phys. 226(2), 1830\u20131844 (2007)","journal-title":"J. Comput. Phys."},{"issue":"9","key":"34_CR41","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1016\/j.chaos.2011.06.004","volume":"44","author":"S. Walton","year":"2011","unstructured":"Walton, S., Hassan, O., Morgan, K., Brown, M.: Modified cuckoo search: a new gradient free optimisation algorithm. J. Chaos, Solitons Fractals 44(9), 710\u2013718 (2011)","journal-title":"Chaos, Solitons & Fractals"}],"container-title":["Lecture Notes in Electrical Engineering","Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-1799-6_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T09:06:46Z","timestamp":1565341606000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-1799-6_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811317972","9789811317996"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-1799-6_34","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"value":"1876-1100","type":"print"},{"value":"1876-1119","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}