標(biāo)題: Titlebook: Combinations of Intelligent Methods and Applications; Proceedings of the 3 Ioannis Hatzilygeroudis,Vasile Palade Conference proceedings 201 [打印本頁(yè)] 作者: 嬉戲 時(shí)間: 2025-3-21 18:51
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications影響因子(影響力)
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications被引頻次
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications被引頻次學(xué)科排名
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications年度引用
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications年度引用學(xué)科排名
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications讀者反饋
書(shū)目名稱(chēng)Combinations of Intelligent Methods and Applications讀者反饋學(xué)科排名
作者: CAMP 時(shí)間: 2025-3-21 20:31
: From Heroic Legend to Emotional History,I techniques. Integrating a high number of heterogeneous components is a non-trivial task and this paper proposes the use of a symbolic middleware to handle inter-component interactions. A generalized hyper-graph model is defined, a simple and straightforward representation language is proposed and 作者: voluble 時(shí)間: 2025-3-22 02:27 作者: 使顯得不重要 時(shí)間: 2025-3-22 07:24 作者: 摻假 時(shí)間: 2025-3-22 09:48
https://doi.org/10.1057/9780230614079tionalists in the learning process of reading. This approach aims at generating teaching tasks which can be accordingly adapted to the individual needs of each student. While the tasks are being executed, a Machine Learning (ML) system will collect and process data to allow an analysis of the studen作者: crutch 時(shí)間: 2025-3-22 16:36
https://doi.org/10.1057/9780230614079 shown that, by using adequate knowledge on plant operation, the plant wide performance can be optimized with respect to a small set of variables. For this purpose, an appropriate performance function is defined. A derivative free optimization technique based on the invasive weed optimization (IWO) 作者: crutch 時(shí)間: 2025-3-22 19:34 作者: 調(diào)整 時(shí)間: 2025-3-23 01:15
Uncivil Service at the Board of Educationm-behaved particle swarm optimization (QPSO). In this method, the GP algorithm is first used to model the process, with the parameters of the model selected randomly within a given interval, while the population of models evolves. Then, the parameters of the model obtained by the GP are tuned by the作者: 發(fā)展 時(shí)間: 2025-3-23 04:19 作者: Engaged 時(shí)間: 2025-3-23 07:56 作者: Allure 時(shí)間: 2025-3-23 10:01 作者: BURSA 時(shí)間: 2025-3-23 16:18 作者: Constant 時(shí)間: 2025-3-23 21:27
978-3-642-43503-4Springer-Verlag Berlin Heidelberg 2013作者: 殺菌劑 時(shí)間: 2025-3-24 00:20
2190-3018 as held in conjunction with the 22.nd. European Conference on Artificial Intelligence (ECAI 2012). This volume includes revised versions of the papers presented at CIMA 2012. .?.978-3-642-43503-4978-3-642-36651-2Series ISSN 2190-3018 Series E-ISSN 2190-3026 作者: NICHE 時(shí)間: 2025-3-24 04:30 作者: Licentious 時(shí)間: 2025-3-24 09:34 作者: faucet 時(shí)間: 2025-3-24 14:20 作者: Insubordinate 時(shí)間: 2025-3-24 17:32 作者: Corroborate 時(shí)間: 2025-3-24 20:43
A Fuzzy System for Educational Tasks for Children with Reading and Writing Disabilities,t’s learning process for each individual word in reading and writing abilities. The fuzzy system will propose an appropriate task based on the data collected by the ML. The output of the fuzzy system is an adapted task that will motivate the children in execution of the tasks.作者: 對(duì)待 時(shí)間: 2025-3-25 02:03 作者: anchor 時(shí)間: 2025-3-25 03:39
A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied ton. All these improvements were made aiming to produce better solutions in fewer iterations of the algorithm and to improve the search for best results. The algorithm was tested for some well-known engineering problems (WBD, ATD, MWTCS, SRD-11) and the results compared to other approaches.作者: SHOCK 時(shí)間: 2025-3-25 07:30 作者: 公理 時(shí)間: 2025-3-25 12:08 作者: AGONY 時(shí)間: 2025-3-25 17:37
https://doi.org/10.1057/9780230614079s for authentication: a distance to the client template and a distance to the mean of imposter. These two decision scores are combined to achieve significant performance gains. Extensive experiments obtained on the facial databases XM2VTS show the effectiveness of the hybrid client specific discriminant analysis.作者: murmur 時(shí)間: 2025-3-25 20:51
Hybrid Client Specific Discriminant Analysis and its Application to Face Verification,s for authentication: a distance to the client template and a distance to the mean of imposter. These two decision scores are combined to achieve significant performance gains. Extensive experiments obtained on the facial databases XM2VTS show the effectiveness of the hybrid client specific discriminant analysis.作者: legislate 時(shí)間: 2025-3-26 00:40
Uncivil Service at the Board of Educationoposed method is applied to the fermentation process of the hyaluronic acid (HA) production by .. The experimental results show the efficiency of the GP-QPSO approach in the modeling and optimization of this fermentation process.作者: TOM 時(shí)間: 2025-3-26 07:47
Hybrid Approach of Genetic Programming and Quantum-Behaved Particle Swarm Optimization for Modelingoposed method is applied to the fermentation process of the hyaluronic acid (HA) production by .. The experimental results show the efficiency of the GP-QPSO approach in the modeling and optimization of this fermentation process.作者: 的事物 時(shí)間: 2025-3-26 09:43
2190-3018 r, France, August 2012.Written by experts in the field.Inclu.The combination of different intelligent methods is a very active research area in Artificial Intelligence (AI). The aim is to create integrated or hybrid methods that benefit from each of their components. ?The 3.rd. Workshop on “Combinat作者: 集合 時(shí)間: 2025-3-26 15:27 作者: 無(wú)關(guān)緊要 時(shí)間: 2025-3-26 17:38 作者: 征稅 時(shí)間: 2025-3-26 21:19
Palgrave Studies in Oral Historypulse noise filter consists of two modes of operation, namely, training and testing (filtering). As demonstrated by the experimental results, the proposed filter not only has the ability of noise attenuation but also possesses desirable capability of details preservation. It significantly outperforms other conventional filters.作者: dura-mater 時(shí)間: 2025-3-27 02:28 作者: TIA742 時(shí)間: 2025-3-27 05:35 作者: 格言 時(shí)間: 2025-3-27 11:53 作者: 兒童 時(shí)間: 2025-3-27 15:16
Intelligent Agents: Integrating Multiple Components Through a Symbolic Structure,I techniques. Integrating a high number of heterogeneous components is a non-trivial task and this paper proposes the use of a symbolic middleware to handle inter-component interactions. A generalized hyper-graph model is defined, a simple and straightforward representation language is proposed and 作者: 使饑餓 時(shí)間: 2025-3-27 19:43
An Architecture for Multi-Dimensional Temporal Abstraction Supporting Decision Making in Oil-Well Dis is achieved by combining multi-dimensional abstraction for recognizing symptoms and case based reasoning. Case-based reasoning compares the current situation in the well with past situations stored in the case base that contains advices for how to solve similar problems. The architecture is descr作者: 曲解 時(shí)間: 2025-3-28 01:11 作者: pester 時(shí)間: 2025-3-28 03:21
A Fuzzy System for Educational Tasks for Children with Reading and Writing Disabilities,tionalists in the learning process of reading. This approach aims at generating teaching tasks which can be accordingly adapted to the individual needs of each student. While the tasks are being executed, a Machine Learning (ML) system will collect and process data to allow an analysis of the studen作者: 減去 時(shí)間: 2025-3-28 10:13 作者: 騙子 時(shí)間: 2025-3-28 13:48
A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied t engineering problems. The focus of this approach is: the use of the concept of master/slave swarm with a mechanism of data sharing; and, the parallelism method based on the paradigm of General Purpose Computing on Graphics Processing Units (GPGPU) with CUDA architecture, brought by NVIDIA corporati作者: watertight, 時(shí)間: 2025-3-28 16:23
Hybrid Approach of Genetic Programming and Quantum-Behaved Particle Swarm Optimization for Modelingm-behaved particle swarm optimization (QPSO). In this method, the GP algorithm is first used to model the process, with the parameters of the model selected randomly within a given interval, while the population of models evolves. Then, the parameters of the model obtained by the GP are tuned by the作者: 不滿(mǎn)分子 時(shí)間: 2025-3-28 22:22 作者: 盡管 時(shí)間: 2025-3-28 23:19
