{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T04:10:36Z","timestamp":1748059836220,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819609932","type":"print"},{"value":"9789819609949","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0994-9_9","type":"book-chapter","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T13:22:50Z","timestamp":1748006570000},"page":"95-105","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-objective Multi-layer Perceptron Architecture Optimization for\u00a0Rapid Post-earthquake Damage Evaluation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9098-4132","authenticated-orcid":false,"given":"Marco M.","family":"Rosso","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6190-0139","authenticated-orcid":false,"given":"Angelo","family":"Aloisio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea Matteo","family":"De Leo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Basi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2894-4164","authenticated-orcid":false,"given":"Giansalvo","family":"Cirrincione","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8472-2956","authenticated-orcid":false,"given":"Giuseppe C.","family":"Marano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,24]]},"reference":[{"key":"9_CR1","unstructured":"Baggio, C., Bernardini, A., Colozza, R., Corazza, L., Della\u00a0Bella, M., Di\u00a0Pasquale, G., Dolce, M., Goretti, A., Martinelli, A., Orsini, G., Papa, F., Zuccaro, G.: Field manual for post-earthquake damage and safety assessment and short term countermeasures (aedes). Field Manual for Post-earthquake Damage and Safety Assessment and Short Term Countermeasures (AeDES) (2007). cited By 181"},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Marano, G.C., Rosso, M.M., Aloisio, A., Cirrincione, G.: Generative adversarial networks review in earthquake-related engineering fields. Bull. Earthq. Eng. 1\u201352 (2023)","DOI":"10.1007\/s10518-023-01645-7"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., et al.: Neural Networks and Deep Learning, vol. 10, p. 978. Springer, Berlin (2018)","DOI":"10.1007\/978-3-319-94463-0"},{"key":"9_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110276","volume":"194","author":"A Aloisio","year":"2023","unstructured":"Aloisio, A., Contento, A., Alaggio, R., Quaranta, G.: Physics-based models, surrogate models and experimental assessment of the vehicle-bridge interaction in braking conditions. Mech. Syst. Signal Process. 194, 110276 (2023)","journal-title":"Mech. Syst. Signal Process."},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.procs.2021.06.036","volume":"190","author":"JV Domashova","year":"2021","unstructured":"Domashova, J.V., Emtseva, S.S., Fail, V.S., Gridin, A.S.: Selecting an optimal architecture of neural network using genetic algorithm. Procedia Comput. Sci. 190, 263\u2013273 (2021)","journal-title":"Procedia Comput. Sci."},{"issue":"12","key":"9_CR6","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0243030","volume":"15","author":"TA Pham","year":"2020","unstructured":"Pham, T.A., Tran, V.Q., Vu, H.L.T., Ly, H.B.: Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity. PLoS One 15(12), e0243030 (2020)","journal-title":"PLoS One"},{"key":"9_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.106874","volume":"147","author":"Y Azimi","year":"2019","unstructured":"Azimi, Y., Khoshrou, S.H., Osanloo, M.: Prediction of blast induced ground vibration (bigv) of quarry mining using hybrid genetic algorithm optimized artificial neural network. Measurement 147, 106874 (2019)","journal-title":"Measurement"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Ramchoun, H., Ghanou, Y., Ettaouil, M., Janati\u00a0Idrissi, M.A.: Multilayer Perceptron: Architecture Optimization and Training (2016)","DOI":"10.9781\/ijimai.2016.415"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Ramchoun, H., Idrissi, M.J., Ghanou, Y., Ettaouil, M.: Multilayer perceptron: Architecture optimization and training with mixed activation functions. In: Proceedings of the 2nd International Conference on Big Data, Cloud and Applications, pp. 1\u20136 (2017)","DOI":"10.1145\/3090354.3090427"},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.measurement.2016.05.049","volume":"92","author":"MA Moghaddam","year":"2016","unstructured":"Moghaddam, M.A., Golmezergi, R., Kolahan, F.: Multi-variable measurements and optimization of gmaw parameters for api-x42 steel alloy using a hybrid bpnn-pso approach. Measurement 92, 279\u2013287 (2016)","journal-title":"Measurement"},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s00521-007-0084-z","volume":"16","author":"K Socha","year":"2007","unstructured":"Socha, K., Blum, C.: An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training. Neural Comput. Appl. 16, 235\u2013247 (2007)","journal-title":"Neural Comput. Appl."},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Castillo, P.A., Merelo, J.J., Gonz\u00e1lez, J., Rivas, V., Romero, G.: Sa-prop: Optimization of multilayer perceptron parameters using simulated annealing. In: Foundations and Tools for Neural Modeling: International Work-Conference on Artificial and Natural Neural Networks, IWANN\u201999 Alicante, Spain, June 2\u20134, 1999 Proceedings, vol. I 5, pp. 661\u2013670. Springer, Berlin (1999)","DOI":"10.1007\/BFb0098224"},{"key":"9_CR13","unstructured":"John, H.: Adaptation in Natural and Artificial Systems. John H. Holland. Ann Arbor, University of Michigan Press (1975)"},{"key":"9_CR14","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1016\/j.eswa.2016.03.012","volume":"56","author":"LML De Campos","year":"2016","unstructured":"De Campos, L.M.L., de Oliveira, R.C.L., Roisenberg, M.: Optimization of neural networks through grammatical evolution and a genetic algorithm. Expert Syst. Appl. 56, 368\u2013384 (2016)","journal-title":"Expert Syst. Appl."},{"key":"9_CR15","unstructured":"Hassibi, B., Stork, D.: Second order derivatives for network pruning: Optimal brain surgeon. Adv. Neural Inf. Process. Syst. 5 (1992)"},{"key":"9_CR16","unstructured":"Attik, M., Bougrain, L., Alexandre, F.: Optimal brain surgeon variants for optimization. In: ECAI, vol.\u00a016, p. 957 (2004)"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Dasgupta, D., McGregor, D.R.: Designing application-specific neural networks using the structured genetic algorithm. In: [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks, pp. 87\u201396. IEEE (1992)","DOI":"10.1109\/COGANN.1992.273946"},{"key":"9_CR18","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.engappai.2013.09.014","volume":"27","author":"D S\u00e1nchez","year":"2014","unstructured":"S\u00e1nchez, D., Melin, P.: Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure. Eng. Appl. Artif. Intell. 27, 41\u201356 (2014)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Deb, K., Jain, H.: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: solving problems with box constraints. IEEE Trans. Evol. Comput. 18(4), 577\u2013601 (2013)","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Blank, J., Deb, K.: Pymoo: multi-objective optimization in python. IEEE Access 8, 89497\u201389509 (2020)","DOI":"10.1109\/ACCESS.2020.2990567"}],"container-title":["Smart Innovation, Systems and Technologies","Advanced Neural Artificial Intelligence: Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0994-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T13:22:59Z","timestamp":1748006579000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0994-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819609932","9789819609949"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0994-9_9","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"value":"2190-3018","type":"print"},{"value":"2190-3026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"24 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}