標(biāo)題: Titlebook: Engineering Applications of Neural Networks; 16th International C Lazaros Iliadis,Chrisina Jayne Conference proceedings 2015 Springer Inter [打印本頁(yè)] 作者: controllers 時(shí)間: 2025-3-21 17:20
書目名稱Engineering Applications of Neural Networks影響因子(影響力)
書目名稱Engineering Applications of Neural Networks影響因子(影響力)學(xué)科排名
書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度
書目名稱Engineering Applications of Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Engineering Applications of Neural Networks被引頻次
書目名稱Engineering Applications of Neural Networks被引頻次學(xué)科排名
書目名稱Engineering Applications of Neural Networks年度引用
書目名稱Engineering Applications of Neural Networks年度引用學(xué)科排名
書目名稱Engineering Applications of Neural Networks讀者反饋
書目名稱Engineering Applications of Neural Networks讀者反饋學(xué)科排名
作者: 創(chuàng)作 時(shí)間: 2025-3-21 22:58 作者: 揮舞 時(shí)間: 2025-3-22 04:28
Can We Be ‘Good’ at Interculturality?te various expressiveness. The results of the study show that for a string node using distinct temperatures distinct phase transitions are shown. As result of phase transitions, changed centroids of respective groupings are observed. At each node, different behaviors revealed by carbon sources applied to genes are observed.作者: 產(chǎn)生 時(shí)間: 2025-3-22 05:40 作者: 樹膠 時(shí)間: 2025-3-22 09:13 作者: galley 時(shí)間: 2025-3-22 15:02
Teacher Education Policy and Researched and implemented a time-efficient distributed modular application for sequence alignment, phylogenetic profiling and clustering of protein sequences, by utilizing the European Grid Infrastructure. The optimal utilization of the Grid with regards to the respective modules, allowed us to achieve significant speedups to the order of 1400%.作者: galley 時(shí)間: 2025-3-22 20:39
https://doi.org/10.1007/978-1-349-09003-7he?Logitboost regression tree model?is more confident?at the unlabeled instances.?We performed a comparison with other well-known semi-supervised classification methods on standard benchmark datasets and the presented technique had better accuracy in most cases.作者: 替代品 時(shí)間: 2025-3-22 21:43
Conference proceedings 2015n Rhodes, Greece, in September 2015. .The 36 revised full papers presented together with the abstracts of three invited talks and two tutorials were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on industrial-engineering applications of ANN; bioinf作者: MOTTO 時(shí)間: 2025-3-23 01:42
Sally Knipe,Rebecca Miles,Stephanie Garoni in this work the prediction of the surface roughness (..) evolution based on Recurrent Neural Networks is presented with the capability to generalize to new grinding wheels and conditions. Results show excellent prediction of the surface finish evolution. The absolute maximum error is below 0.49μm, being the average error around 0.32μm.作者: Amendment 時(shí)間: 2025-3-23 09:05 作者: 字形刻痕 時(shí)間: 2025-3-23 12:38 作者: zonules 時(shí)間: 2025-3-23 14:02
https://doi.org/10.1007/978-1-349-09001-3n locally optimized parameters and globally optimized parameters. The multithreaded local learning regularization neural networks are implemented with OpenMP. The accuracy of the algorithms is tested against several benchmark datasets. The parallel efficiency and speedup is evaluated on a multi-core system.作者: 救護(hù)車 時(shí)間: 2025-3-23 20:39
On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks in this work the prediction of the surface roughness (..) evolution based on Recurrent Neural Networks is presented with the capability to generalize to new grinding wheels and conditions. Results show excellent prediction of the surface finish evolution. The absolute maximum error is below 0.49μm, being the average error around 0.32μm.作者: BURSA 時(shí)間: 2025-3-23 23:16 作者: ABASH 時(shí)間: 2025-3-24 05:30 作者: 1分開 時(shí)間: 2025-3-24 06:35
Multithreaded Local Learning Regularization Neural Networks for Regression Tasksn locally optimized parameters and globally optimized parameters. The multithreaded local learning regularization neural networks are implemented with OpenMP. The accuracy of the algorithms is tested against several benchmark datasets. The parallel efficiency and speedup is evaluated on a multi-core system.作者: 放逐某人 時(shí)間: 2025-3-24 13:44 作者: 聯(lián)合 時(shí)間: 2025-3-24 15:17
Self-Train LogitBoost for Semi-supervised Learninghe?Logitboost regression tree model?is more confident?at the unlabeled instances.?We performed a comparison with other well-known semi-supervised classification methods on standard benchmark datasets and the presented technique had better accuracy in most cases.作者: 預(yù)感 時(shí)間: 2025-3-24 23:05
Conference proceedings 2015ormatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; pattern recognition-facial mapping; classification; financial intelligent modeling; echo state networks..作者: linear 時(shí)間: 2025-3-25 00:12 作者: LEVY 時(shí)間: 2025-3-25 04:12 作者: Sciatica 時(shí)間: 2025-3-25 09:57 作者: BLAND 時(shí)間: 2025-3-25 14:43 作者: Oafishness 時(shí)間: 2025-3-25 16:18
,Crafting Teacher Educators’ Growth,learning for data clustering: Kohonen networks, k-means, k-medoids and hierarchical clustering, and built partial least squares regression models on the small datasets of each cluster. Both approaches and their results are discussed in this paper.作者: 南極 時(shí)間: 2025-3-25 20:20 作者: Arresting 時(shí)間: 2025-3-26 00:12
Reliability Analysis of Post-Tensioned Bridge Using Artificial Neural Network-Based Surrogate Model set elements. The proposed method is employed for reliability assessment of post-tensioned composite bridge. Response surface obtained is independent of the type of distribution or correlations among the basic variables.作者: BLOT 時(shí)間: 2025-3-26 08:20 作者: 中國(guó)紀(jì)念碑 時(shí)間: 2025-3-26 11:01
Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fishof the extremely dangerous for human health invasive fish species “Lagocephalus Sceleratus”. The matching is achieved through extensive comparisons of protein and DNA sequences, known also as DNA barcodes following an ensemble learning approach.作者: 侵害 時(shí)間: 2025-3-26 14:08
Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of learning for data clustering: Kohonen networks, k-means, k-medoids and hierarchical clustering, and built partial least squares regression models on the small datasets of each cluster. Both approaches and their results are discussed in this paper.作者: 漂亮 時(shí)間: 2025-3-26 18:44 作者: 上下倒置 時(shí)間: 2025-3-27 00:24 作者: 細(xì)胞膜 時(shí)間: 2025-3-27 02:59
Engineering Applications of Neural Networks978-3-319-23983-5Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: 厭食癥 時(shí)間: 2025-3-27 05:29 作者: 肉體 時(shí)間: 2025-3-27 12:08
Reaching and Teaching Marginalized Children,nditions. Simulating this system can be very useful to train people involved in the real plant operation. However, in order to simulate this system the identification process must be performed. Echo State Networks are a special type of Recurrent Neural Networks that are well suited to nonlinear dyna作者: Efflorescent 時(shí)間: 2025-3-27 15:00 作者: Needlework 時(shí)間: 2025-3-27 18:40 作者: savage 時(shí)間: 2025-3-28 01:06 作者: Ambiguous 時(shí)間: 2025-3-28 03:23
Can We Be ‘Good’ at Interculturality?ional space. The problem is to find patterns of activity in genes of E. coli, which are stressed by different carbon sources that allow them to activate various expressiveness. The results of the study show that for a string node using distinct temperatures distinct phase transitions are shown. As r作者: 一大塊 時(shí)間: 2025-3-28 09:04 作者: 預(yù)知 時(shí)間: 2025-3-28 13:01 作者: 不規(guī)則的跳動(dòng) 時(shí)間: 2025-3-28 16:48 作者: arrogant 時(shí)間: 2025-3-28 18:56 作者: arrogant 時(shí)間: 2025-3-29 02:51 作者: Inclement 時(shí)間: 2025-3-29 05:32 作者: 立即 時(shí)間: 2025-3-29 11:01
https://doi.org/10.1007/978-1-349-09001-3 local learning algorithms use neighborhoods to learn local parameters and create on the fly a local model specifically designed for any particular testing point. This approach delivers breakthrough performance in many application domains. Usually however the computational overhead is substantial, a作者: 臥虎藏龍 時(shí)間: 2025-3-29 13:06 作者: 山間窄路 時(shí)間: 2025-3-29 17:32 作者: Epidural-Space 時(shí)間: 2025-3-29 20:52
Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/310711.jpg作者: Incompetent 時(shí)間: 2025-3-30 03:58
Reaching and Teaching Marginalized Children,y proposes the use of an Echo State Network, automatically tuned by Genetic Algorithms, to a closed loop identification of a nuclear steam generator water level process. The results obtained demonstrate that the proposed Echo State Networks can correctly model dynamical nonlinear system in a large r作者: 爭(zhēng)議的蘋果 時(shí)間: 2025-3-30 06:40 作者: 輕推 時(shí)間: 2025-3-30 08:57
Mixed Phenomenological and Neural Approach to Induction Motor Speed Estimation system mathematical model as a set of transformed, easily measured input variables. It is demonstrated analytically that the set suits well to speed approximation if the approximated signal is a constant or changes linearly. It is then demonstrated numerically that this set is also quite effective 作者: installment 時(shí)間: 2025-3-30 13:16
Closed Loop Identification of Nuclear Steam Generator Water Level Using ESN Network Tuned by Geneticnditions. Simulating this system can be very useful to train people involved in the real plant operation. However, in order to simulate this system the identification process must be performed. Echo State Networks are a special type of Recurrent Neural Networks that are well suited to nonlinear dyna作者: 可以任性 時(shí)間: 2025-3-30 18:00
On-line Surface Roughness Prediction in Grinding Using Recurrent Neural Networks important parameters that indicate the grinding quality is the surface roughness (..). Analytical models developed to predict surface finish are not easy to apply in the industry. Therefore, many researchers have made use of Artificial Neural Networks. However, all the approaches provide a particul作者: 不安 時(shí)間: 2025-3-31 00:18
