{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:06:32Z","timestamp":1742972792042,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811033902"},{"type":"electronic","value":"9789811033919"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-981-10-3391-9_4","type":"book-chapter","created":{"date-parts":[[2017,3,9]],"date-time":"2017-03-09T13:09:45Z","timestamp":1489064985000},"page":"67-77","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Flexible Neural Trees\u2014Parallel Learning on HPC"],"prefix":"10.1007","author":[{"given":"Ji\u0159\u00ed","family":"Hanzelka","sequence":"first","affiliation":[]},{"given":"Ji\u0159\u00ed","family":"Dvorsk\u00fd","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,10]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1142\/S0129065789000463","volume":"1","author":"JP Nadal","year":"1989","unstructured":"Nadal, J.P.: Study of a growth algorithm for a feedforward network. Int. J. Neural Syst. 1, 55\u201359 (1989)","journal-title":"Int. J. Neural Syst."},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Zhang, B.T., Ohm, P., M\u00fchlenbein, H.: Evolutionary Induction of Sparse Neural Trees. MIT Press (1997)","DOI":"10.1162\/evco.1997.5.2.213"},{"key":"4_CR3","unstructured":"Chen, Y., Chen, F., Yang, J.Y.: Evolving MIMO Flexible Neural Trees for Nonlinear System Identification. CSREA Press (2007)"},{"key":"4_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/11875581_133","volume-title":"Gene Expression Profiling Using Flexible Neural Trees","author":"Y Chen","year":"2006","unstructured":"Chen, Y., Peng, L., Abraham, A.: Gene Expression Profiling Using Flexible Neural Trees. Springer, Berlin Heidelberg (2006)"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Y., Abraham, A.: Tree-Structure based Hybrid Computational Intelligence: Theoretical Foundations and Applications. Springer (2010)","DOI":"10.1007\/978-3-642-04739-8_1"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Peng, L., Yang, B., Zhang, L., Chen, Y.: A parallel evolving algorithm for flexible neural tree. Elsevier Science Publishers B. V. (2011)","DOI":"10.1016\/j.parco.2011.06.001"},{"key":"4_CR7","unstructured":"Salam, A., Kader, A., Wahed, A.: Comparative study between differential evolution and particle swarm optimization algorithms in training of feed-forward neural network for stock price prediction. IEEE (2010)"},{"key":"4_CR8","unstructured":"Indiana University: MPI.NET: High-Performance C# Library for Message Passing (2015). http:\/\/www.osl.iu.edu\/research\/mpi.net\/ . Accessed 28 Feb 2015"},{"key":"4_CR9","unstructured":"Message Passing Interface Forum: MPI: a message-passing interface standard: Version 2.2 (2015). http:\/\/www.mpi-forum.org\/docs\/mpi-2.2\/mpi22-report.pdf . Accessed 28 Feb 2015"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Willcock, J., Lumsdaine, A., Robison, A.: Using MPI with C# and the common language infrastructure. ACM (2002)","DOI":"10.1145\/583810.583850"},{"key":"4_CR11","volume-title":"Time Series Analysis: Forecasting and Control","author":"G Box","year":"1970","unstructured":"Box, G., Jenkins, G.: Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco (1970)"}],"container-title":["Advances in Intelligent Systems and Computing","Advanced Computing and Systems for Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-3391-9_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T19:50:25Z","timestamp":1658778625000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-3391-9_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811033902","9789811033919"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-3391-9_4","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"10 March 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}