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標(biāo)題: Titlebook: Artificial Intelligence Applications and Innovations; 8th IFIP WG 12.5 Int Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopo Conference pr [打印本頁(yè)]

作者: DIGN    時(shí)間: 2025-3-21 16:25
書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)




書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開度




書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations被引頻次




書目名稱Artificial Intelligence Applications and Innovations被引頻次學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations年度引用




書目名稱Artificial Intelligence Applications and Innovations年度引用學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations讀者反饋




書目名稱Artificial Intelligence Applications and Innovations讀者反饋學(xué)科排名





作者: 詞匯    時(shí)間: 2025-3-21 23:40
Sang-Yun Han,Tschangho John Kims on the DTLZ benchmark functions using a set of well-known performance measures. We also propose a novel performance measure called unique hypervolume, which measures the volume of objective space dominated only by one or more solutions, with respect to a set of solutions. Based on our results, we
作者: 蒼白    時(shí)間: 2025-3-22 04:09

作者: Ovulation    時(shí)間: 2025-3-22 07:04
Conference proceedings 2012s, AIAI 2012, held in Halkidiki, Greece, in September 2012. The 44 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on ANN-classification and pattern recognition, optimization - genetic alg
作者: bourgeois    時(shí)間: 2025-3-22 08:59

作者: 演繹    時(shí)間: 2025-3-22 15:15

作者: 起皺紋    時(shí)間: 2025-3-22 18:10
Applications to Urban Planning: An Overview. Then by knowing the system response of the test bench in the frequency domain, GA will be used again to fine tuning this parameterized signal. The result is then compared to those performances of using signal without fine tuning step. It is shown that after applying the fine tuning method, the resulted signal can achieve a better performance.
作者: 軍械庫(kù)    時(shí)間: 2025-3-22 23:17

作者: defeatist    時(shí)間: 2025-3-23 04:09

作者: decode    時(shí)間: 2025-3-23 07:38
Multi-classify Hybrid Multilayered Perceptron (HMLP) Network for Pattern Recognition Applicationsed using a Modified Recursive Prediction Error (MRPE). This study uses three benchmark datasets in order to measure the capability of the network. The results show that the proposed Multi-Classify HMLP network provides a significant improvement over the conventional HMLP network for pattern recognition applications.
作者: 盤旋    時(shí)間: 2025-3-23 12:48
Fine Tuning of a Wet Clutch Engagement by Means of a Genetic Algorithm. Then by knowing the system response of the test bench in the frequency domain, GA will be used again to fine tuning this parameterized signal. The result is then compared to those performances of using signal without fine tuning step. It is shown that after applying the fine tuning method, the resulted signal can achieve a better performance.
作者: chronology    時(shí)間: 2025-3-23 16:58
On the Design and Training of Bots to Play Backgammon Variantsesigned, trained and evaluated for each one of these variants. This paper presents the details of the architecture and the training procedure for each case. New expert features as inputs to the networks are also introduced, whereas experimental results demonstrate improvement over previous versions of ..
作者: Hiatal-Hernia    時(shí)間: 2025-3-23 18:05

作者: SOBER    時(shí)間: 2025-3-24 01:43

作者: Blood-Clot    時(shí)間: 2025-3-24 03:18

作者: 伴隨而來(lái)    時(shí)間: 2025-3-24 08:56
Walter F. L. Bogaerts,Marc J. S. Vancoille was to develop a Multi-Layer Perceptron neural network model which considered significant variables from an a priori developed robust regression model. The application of robust regression could be considered in selecting the input variables in a neural network model.
作者: 暫時(shí)中止    時(shí)間: 2025-3-24 13:15

作者: strain    時(shí)間: 2025-3-24 17:36
Sang-Yun Han,Tschangho John Kimrepresentable with these networks (in contrast to classical ANNs) and that makes them easily learnable from training datasets according to a developed method of ANN architecture optimization. Methodology for comparing quality of different representations is illustrated by applying developed method in time series prediction and robot control.
作者: 健壯    時(shí)間: 2025-3-24 19:22
Kathi Kellenberger,Clayton Groomage classification rates. From this fully distributed and privacy preserving mutual validation a coarse-grained matrix can be formed to map all members. We demonstrate that it is possible to fully exploit this mutual validation matrix to efficiently train another regularization network as a meta learner combiner for the committee.
作者: 裙帶關(guān)系    時(shí)間: 2025-3-25 00:39
Applications with asyncio and Twistedspace approach for achieving its scene categorizations. The key element is a physics engine that is used both for the construction of information-rich physical features and for the prediction of how a given situation might evolve.
作者: PAGAN    時(shí)間: 2025-3-25 05:16
Combination of M-Estimators and Neural Network Model to Analyze Inside/Outside Bark Tree Diameters was to develop a Multi-Layer Perceptron neural network model which considered significant variables from an a priori developed robust regression model. The application of robust regression could be considered in selecting the input variables in a neural network model.
作者: 2否定    時(shí)間: 2025-3-25 10:33
Support Vector Machine Classification of Protein Sequences to Functional Families Based on Motif Selrt from presenting computational efficiency allowed for ranking the selected features. The experimental evaluation demonstrated the usefulness of the aforementioned approach, whereas the individual ranking for the three selection algorithms presented significant agreement.
作者: 拋射物    時(shí)間: 2025-3-25 13:02
A Representational MDL Framework for Improving Learning Power of Neural Network Formalismsrepresentable with these networks (in contrast to classical ANNs) and that makes them easily learnable from training datasets according to a developed method of ANN architecture optimization. Methodology for comparing quality of different representations is illustrated by applying developed method in time series prediction and robot control.
作者: 全面    時(shí)間: 2025-3-25 18:58

作者: Nomadic    時(shí)間: 2025-3-25 23:14

作者: Tempor    時(shí)間: 2025-3-26 01:50
1868-4238 logic, classification - pattern recognition, multi-agent systems, multi-attribute DSS, clustering, image-video classification and processing, and engineering applications of AI and artificial neural networks.978-3-642-43653-6978-3-642-33409-2Series ISSN 1868-4238 Series E-ISSN 1868-422X
作者: sacrum    時(shí)間: 2025-3-26 08:08

作者: 對(duì)手    時(shí)間: 2025-3-26 09:49

作者: 涂掉    時(shí)間: 2025-3-26 14:44
Applications with asyncio and Twisted of such an information system through the use of the London Plan case study. An application of such a system is outlined by means of a probabilistic knowledge based IS which is developed by Influence Diagrams and can be utilized as an Environmental policy modeler and/or DSS.
作者: Mitigate    時(shí)間: 2025-3-26 17:34
Using the CSLA .NET Base Classes,converges to the desired object boundary very fast. The theoretical properties and various experiments presented demonstrate that the proposed fuzzy energy-based active contour is better and more robust than classical snake methods based on the gradient or other kind of energies.
作者: 兩種語(yǔ)言    時(shí)間: 2025-3-26 21:56

作者: 菊花    時(shí)間: 2025-3-27 02:36
A Multi-objective Genetic Algorithm for Software Development Team Staffing Based on Personality Typeomplexity, and also through a real-world project of an SME in the local IT industry. The approach demonstrated a sufficient ability to generate both feasible and optimal staffing solutions by assigning developers most technically competent and suited personality-wise for each project task.
作者: 暖昧關(guān)系    時(shí)間: 2025-3-27 07:28
A Probabilistic Knowledge-Based Information System for Environmental Policy Modeling and Decision Ma of such an information system through the use of the London Plan case study. An application of such a system is outlined by means of a probabilistic knowledge based IS which is developed by Influence Diagrams and can be utilized as an Environmental policy modeler and/or DSS.
作者: GIDDY    時(shí)間: 2025-3-27 11:17

作者: 提名    時(shí)間: 2025-3-27 15:55
Experimental Identification of Pilot Response Using Measured Data from a Flight Simulatort’s response to a sudden aircraft altitude change was measured. For analysis of the measured results a mathematical identification model in MATLAB? environment was used. The results obtained from MATLAB? confirm that the experimental measurements were successful.
作者: forbid    時(shí)間: 2025-3-27 17:55

作者: 暖昧關(guān)系    時(shí)間: 2025-3-28 00:17
Conference proceedings 2012orithms, artificial neural networks, learning and mining, fuzzy logic, classification - pattern recognition, multi-agent systems, multi-attribute DSS, clustering, image-video classification and processing, and engineering applications of AI and artificial neural networks.
作者: 山間窄路    時(shí)間: 2025-3-28 05:28
Lazaros Iliadis,Ilias Maglogiannis,Harris PapadopoState-of-the-art research.Fast-track conference proceedings.Unique visibility
作者: Dna262    時(shí)間: 2025-3-28 10:18

作者: 建筑師    時(shí)間: 2025-3-28 13:36
Walter F. L. Bogaerts,Marc J. S. Vancoillenic component detection is performed through adaptive segmentation using a two-level Otsu’s Method. Two probabilistic classifiers then analyze the detected regions, as to how many components may constitute each one. The first of these employs rule-based reasoning centered on the decreasing harmonic
作者: 殺蟲劑    時(shí)間: 2025-3-28 17:17

作者: Blazon    時(shí)間: 2025-3-28 19:45
n to be able to enhance the performance accuracy when compared to the conventional HMLP network. The Multi-Classify HMLP network architecture is trained using a Modified Recursive Prediction Error (MRPE). This study uses three benchmark datasets in order to measure the capability of the network. The
作者: 格子架    時(shí)間: 2025-3-29 00:37

作者: 橫截,橫斷    時(shí)間: 2025-3-29 06:21

作者: Atheroma    時(shí)間: 2025-3-29 09:09

作者: 范例    時(shí)間: 2025-3-29 13:45
Applications to Urban Planning: An Overview wet clutch system. Usually these signals are designed empirically. In this paper, firstly, genetic algorithm (GA) will be used to optimize parameters. Then by knowing the system response of the test bench in the frequency domain, GA will be used again to fine tuning this parameterized signal. The r
作者: AGONY    時(shí)間: 2025-3-29 19:10
Sang-Yun Han,Tschangho John KimNNs). Its extension is called representational MDL (RMDL) principle and takes into account that models in machine learning are always constructed within some representation. In this paper, the optimization of ANNs formalisms as information representations using the RMDL principle is considered. A no
作者: 變形詞    時(shí)間: 2025-3-29 22:24

作者: 鳥籠    時(shí)間: 2025-3-30 02:49

作者: 伙伴    時(shí)間: 2025-3-30 04:38

作者: 妨礙議事    時(shí)間: 2025-3-30 08:42

作者: 相同    時(shí)間: 2025-3-30 15:00

作者: Epidural-Space    時(shí)間: 2025-3-30 16:54
Applications with asyncio and Twisted decision maker when the problem domain was fully consulted by experts in the field. Not always all the consultants and advisers agree on details or even basics of such a course of action. The need for an intelligent predictive system is emerging. Policy making on environmental issues are even shodd
作者: cipher    時(shí)間: 2025-3-30 23:44

作者: Anticoagulant    時(shí)間: 2025-3-31 03:32
Applications with asyncio and Twistedl world have on mechanisms of concept learning and scene categorization. Each PBP consists of a set of 2D physical scenes which are positive or negative examples of a concept that must be identified. We discuss the properties that make PBPs challenging, analyze computational and representational req
作者: 針葉類的樹    時(shí)間: 2025-3-31 08:01

作者: fabricate    時(shí)間: 2025-3-31 13:03
Using the CSLA .NET Base Classes,sed model can detect objects whose boundaries are not necessarily defined by gradient, based on the minimization of a fuzzy energy. This fuzzy energy is used as the model motivation power evolving the active contour, which will stop on the desired object boundary. The fuzziness of the energy provide
作者: BINGE    時(shí)間: 2025-3-31 16:44
Time Range Calculations and Trends,Surrogate modelling of solutions of integral equations by neural networks is investigated theoretically. Estimates of speed of convergence of suboptimal surrogate solutions to solutions described by Fredholm theorem are derived.
作者: Ovulation    時(shí)間: 2025-3-31 20:11
Surrogate Modelling of Solutions of Integral Equations by Neural NetworksSurrogate modelling of solutions of integral equations by neural networks is investigated theoretically. Estimates of speed of convergence of suboptimal surrogate solutions to solutions described by Fredholm theorem are derived.
作者: 賭博    時(shí)間: 2025-4-1 01:20
Artificial Intelligence Applications and Innovations978-3-642-33409-2Series ISSN 1868-4238 Series E-ISSN 1868-422X
作者: 指派    時(shí)間: 2025-4-1 05:13
Kathi Kellenberger,Clayton Groom,Ed Pollacke likely to lead to errors in the next step of natural language processing. The current work shows an investigation of how the best taggers available today can be improved by combining them. Experimental results show that a very simple approach to combining taggers can lead to significant improvements over the best individual tagger.
作者: enterprise    時(shí)間: 2025-4-1 08:35
Applications with asyncio and Twistedon on the application of compressive sensing and how it affects the reconstruction of MIR. This paper provides solid theoretical and various empirical evidence on the conceptualization, theoretical development, and implication of Compressive Sensing (CS), which to great extent, contributes to the application of the Music Information Retrieval.
作者: 真實(shí)的你    時(shí)間: 2025-4-1 13:48
https://doi.org/10.1007/978-3-642-33409-2algorithms; decision support systems; e-health; e-learning; neural network modeling
作者: 無(wú)表情    時(shí)間: 2025-4-1 18:01
978-3-642-43653-6IFIP International Federation for Information Processing 2012




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