標(biāo)題: Titlebook: Artificial Intelligence and Soft Computing; 14th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings [打印本頁(yè)] 作者: Affordable 時(shí)間: 2025-3-21 18:21
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing影響因子(影響力)
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing被引頻次
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing被引頻次學(xué)科排名
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing年度引用
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing年度引用學(xué)科排名
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing讀者反饋
書(shū)目名稱(chēng)Artificial Intelligence and Soft Computing讀者反饋學(xué)科排名
作者: novelty 時(shí)間: 2025-3-21 20:29 作者: Ganglion-Cyst 時(shí)間: 2025-3-22 04:14
Weitere neurobiologische Therapieverfahrenrly important: accuracy and computational time. For the experiment real and simulated stereo images are used. Obtained results lead to the conclusion about feasibility of considered architectures in the stereo matching problem solving for real time applications.作者: 灌溉 時(shí)間: 2025-3-22 05:21
F. Schneider,S. Weber-Papen,M. Hettmannemployee evaluation. In our approach, employee profiles are processed by a dedicated Radial Basis Probabilistic Neural Network based classifier, which finds non-explicit custom-created groups. The accuracy of the classifier is very high, revealing the potential efficacy of the proposed bio-inspired classification system.作者: 白楊魚(yú) 時(shí)間: 2025-3-22 10:37 作者: meretricious 時(shí)間: 2025-3-22 13:13
Infektionen des ?u?eren Genitalers formed by 2, 3, 4 and 5 firms located in 6 different zones of a specific city. This work seeks to shed light in the conformation of groups under uncertain conditions, and the deep examination of the manufacturing activities in a specific territory for decision and policy making.作者: jettison 時(shí)間: 2025-3-22 21:06 作者: prediabetes 時(shí)間: 2025-3-22 23:40
I. Vernaleken,F. Schneider,W. Nieblingribes the architecture of ANN, presents an analytical way of choosing the weights and the number of neurons, and provides the results of network training for different ANN architectures solving the Parity-. problem.作者: otic-capsule 時(shí)間: 2025-3-23 04:26 作者: 缺乏 時(shí)間: 2025-3-23 05:56
Komplizierte Harnwegsinfektionensed on those rules are similar to other systems reported in the literature that are also based on global features. However, the proposed system can be implemented in hardware platforms of very much lower computational resources, offering even lower processing time.作者: 易于出錯(cuò) 時(shí)間: 2025-3-23 11:06
Pyelonephritis und Nierenabszessified) formalism are used to propose two formalism for preferences: . (FMPL) and . (CPMPL). We also justify some metalogical properties of both systems such as their completeness and we discuss a satisfiability problem for them. In result, we propose a short juxtaposition of the properties of the considered systems.作者: 絕種 時(shí)間: 2025-3-23 14:29
Parasit?re Erkrankungen in der Urologielearning methods for fuzzy rules on applications of Type-2 fuzzy logic systems to control filters reducing air pollution. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert.作者: 現(xiàn)任者 時(shí)間: 2025-3-23 19:06 作者: 打折 時(shí)間: 2025-3-23 22:26
Product Multi-kernels for Sensor Data Analysis an evolutionary learning algorithm for setting its parameters. The algorithm is capable to select different kernels from a dictionary and to set their parameters, including optimal split of inputs into individual products. The approach is tested on real-world data from sensor networks area.作者: 可耕種 時(shí)間: 2025-3-24 05:58 作者: 愛(ài)哭 時(shí)間: 2025-3-24 08:08
Comparative Approach to the Multi-Valued Logic Construction for Preferencesified) formalism are used to propose two formalism for preferences: . (FMPL) and . (CPMPL). We also justify some metalogical properties of both systems such as their completeness and we discuss a satisfiability problem for them. In result, we propose a short juxtaposition of the properties of the considered systems.作者: 恃強(qiáng)凌弱的人 時(shí)間: 2025-3-24 11:58
Learning Rules for Type-2 Fuzzy Logic System in the Control of DeNOx Filterlearning methods for fuzzy rules on applications of Type-2 fuzzy logic systems to control filters reducing air pollution. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert.作者: STRIA 時(shí)間: 2025-3-24 16:47
https://doi.org/10.1007/978-3-662-44463-4o be defined in advance. In the gene-based clustering of the considered data, our approach generates clusters that are easily divisible into subclusters related to particular sample classes. It corresponds, in a way, to subspace clustering that is highly desirable in microarray data analysis.作者: 全國(guó)性 時(shí)間: 2025-3-24 20:10
Facharztwissen Orthop?die Unfallchirurgieto automatically interconnect representing similar or sequential data. This contribution describes generalized formulas for quick analytical computation of the structure and parameters of ANAKG neural graphs for representing and recalling of training sequences of objects.作者: COMMA 時(shí)間: 2025-3-25 03:03 作者: 別名 時(shí)間: 2025-3-25 05:37
Perioperative Antibiotikaprophylaxer generalizations, building on top of the existing knowledge, and even merging of these approaches. The paper is illustrated with selected examples of definitions, theorems, and proofs taken from rough and fuzzy set theory formulated in the Mizar language.作者: 咒語(yǔ) 時(shí)間: 2025-3-25 09:50
Microarray , Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolvo be defined in advance. In the gene-based clustering of the considered data, our approach generates clusters that are easily divisible into subclusters related to particular sample classes. It corresponds, in a way, to subspace clustering that is highly desirable in microarray data analysis.作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-25 13:30
Innovative Types and Abilities of Neural Networks Based on Associative Mechanisms and a New Associatto automatically interconnect representing similar or sequential data. This contribution describes generalized formulas for quick analytical computation of the structure and parameters of ANAKG neural graphs for representing and recalling of training sequences of objects.作者: Ingrained 時(shí)間: 2025-3-25 17:58 作者: famine 時(shí)間: 2025-3-25 23:13
Initial Comparison of Formal Approaches to Fuzzy and Rough Setsr generalizations, building on top of the existing knowledge, and even merging of these approaches. The paper is illustrated with selected examples of definitions, theorems, and proofs taken from rough and fuzzy set theory formulated in the Mizar language.作者: pus840 時(shí)間: 2025-3-26 00:58
Conference proceedings 2015ft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were carefully reviewed and selected from 322 submissions. These proceedings present both traditional artificial intelligence methods and soft computing techniques. The goal is to 作者: STALE 時(shí)間: 2025-3-26 07:39
Complexity of Shallow Networks Representing Finite Mappingsation of almost any randomly chosen function on a sufficiently large domain by a shallow network with perceptrons requires untractably large network. Concrete examples of such functions are constructed using Hadamard matrices.作者: VEST 時(shí)間: 2025-3-26 09:35 作者: 水土 時(shí)間: 2025-3-26 15:45
Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problemrly important: accuracy and computational time. For the experiment real and simulated stereo images are used. Obtained results lead to the conclusion about feasibility of considered architectures in the stereo matching problem solving for real time applications.作者: 舉止粗野的人 時(shí)間: 2025-3-26 18:20
Toward Work Groups Classification Based on Probabilistic Neural Network Approachemployee evaluation. In our approach, employee profiles are processed by a dedicated Radial Basis Probabilistic Neural Network based classifier, which finds non-explicit custom-created groups. The accuracy of the classifier is very high, revealing the potential efficacy of the proposed bio-inspired classification system.作者: 破裂 時(shí)間: 2025-3-26 23:22 作者: Outmoded 時(shí)間: 2025-3-27 03:48 作者: 自愛(ài) 時(shí)間: 2025-3-27 07:25
I. Vernaleken,F. Schneider,W. Nieblingt structure and dependences is used to estimate the time of TRACO transformations. The training of a Feed-Forward Neural Network is used to make a decision about transformation time. Experiments with various NAS Parallel Benchmarks show promise for the use of neural networks in automatic code parallelization and optimization.作者: mortuary 時(shí)間: 2025-3-27 11:47 作者: LUT 時(shí)間: 2025-3-27 14:20
Microarray , Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolv to complex cluster-analysis problems including, in particular, the sample-based and gene-based clusterings of microarray . gene data set. Our approach works in a fully unsupervised way, i.e., without the necessity to predefine the number of clusters and using unlabelled data. It is particularly imp作者: Horizon 時(shí)間: 2025-3-27 18:49 作者: Ballad 時(shí)間: 2025-3-28 00:45 作者: thwart 時(shí)間: 2025-3-28 03:23 作者: 現(xiàn)代 時(shí)間: 2025-3-28 07:24
Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problemel architectures are examined: Hybrid-Maximum Neural Network and Self Correcting Neural Network.Energy functions that are crucial for the network performance and working algorithm are also presented.All considered structures are tested to compare their performance features. Two of them are particula作者: muscle-fibers 時(shí)間: 2025-3-28 14:02
Molecular Approach to Hopfield Neural Network. This novel approach uses magnetic molecules homogenously distributed in mesoporous silica matrix, which forms a base for a converting unit, an equivalent of a neuron in the Hopfield network. Converting units interact with each other via a fully controlled magnetic fields, which corresponds to weig作者: Melatonin 時(shí)間: 2025-3-28 15:49
Toward Work Groups Classification Based on Probabilistic Neural Network Approach proposed bio-inspired solution analyses employees using data gathered from their professional attitudes and skills, then suggests how to form groups of human resources within a company that can effectively work together. The same proposed tool provides employers with a fair and effective means for 作者: 解凍 時(shí)間: 2025-3-28 19:23
Adaptation of RBM Learning for Intel MIC Architectures of modern CPUs and Intel Xeon Phi coprocessor. The learning procedure is based on the matrix description of RBM, where the learning samples are grouped into packages, and represented as matrices. The influence of the package size on convergence of learning, as well as on performance of computation作者: 相互影響 時(shí)間: 2025-3-29 00:14
Using an Artificial Neural Network to Predict Loop Transformation Timereaded code. However, the time of a transformation process is usually unknown, especially for transitive closure based algorithms. The computational complexity of transitive closure calculation algorithms is relatively high and may prevent applying corresponding transformations. The paper presents t作者: 不如屎殼郎 時(shí)間: 2025-3-29 04:39 作者: cushion 時(shí)間: 2025-3-29 07:24
Product Multi-kernels for Sensor Data Analysisn this paper, we focus on its extension with multi-kernel units. In particular, we describe the architecture of a product unit network, and we propose an evolutionary learning algorithm for setting its parameters. The algorithm is capable to select different kernels from a dictionary and to set thei作者: 膽小懦夫 時(shí)間: 2025-3-29 15:19
A Fuzzy Approach to Competitive Clusters Using Moore Familiesties in a specific city. The aim is to create clusters towards the construction of competitive advantages, cost reduction and economies of scale. We utilize tools of Fuzzy Sets Theory, evaluating productive capacities of local enterprises under Moore Families. Results conclude in 16 different cluste作者: 洞穴 時(shí)間: 2025-3-29 17:34 作者: DIKE 時(shí)間: 2025-3-29 19:53 作者: 乳白光 時(shí)間: 2025-3-30 01:11 作者: 小畫(huà)像 時(shí)間: 2025-3-30 04:25
Learning Rules for Type-2 Fuzzy Logic System in the Control of DeNOx Filter of fuzzy inference systems, this article focuses on presenting new learning methods for fuzzy rules. Referring to earlier work, the authors extended learning methods for fuzzy rules on applications of Type-2 fuzzy logic systems to control filters reducing air pollution. The filters use Selective Ca作者: 拘留 時(shí)間: 2025-3-30 10:06
Conference proceedings 2015oinformatics, biometrics and medical applications, concurrent and parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation and various problems of artificial intelligence.作者: Dissonance 時(shí)間: 2025-3-30 16:02 作者: INCH 時(shí)間: 2025-3-30 18:17 作者: Pageant 時(shí)間: 2025-3-31 00:07
978-3-319-19323-6Springer International Publishing Switzerland 2015作者: Horizon 時(shí)間: 2025-3-31 02:30
Facharztwissen Orthop?die UnfallchirurgieA parallel architecture of the Levenberg-Marquardt algorithm for training a feedforward neural network is presented. The proposed solution is based on completely new parallel structures to effectively reduce high computational load of this algorithm. Detailed parallel neural network structures are explicitely discussed.作者: 秘密會(huì)議 時(shí)間: 2025-3-31 08:37
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural NetworksA parallel architecture of the Levenberg-Marquardt algorithm for training a feedforward neural network is presented. The proposed solution is based on completely new parallel structures to effectively reduce high computational load of this algorithm. Detailed parallel neural network structures are explicitely discussed.作者: inculpate 時(shí)間: 2025-3-31 09:58
https://doi.org/10.1007/978-3-662-44463-4 to complex cluster-analysis problems including, in particular, the sample-based and gene-based clusterings of microarray . gene data set. Our approach works in a fully unsupervised way, i.e., without the necessity to predefine the number of clusters and using unlabelled data. It is particularly imp作者: predict 時(shí)間: 2025-3-31 16:29
Facharztwissen Orthop?die Unfallchirurgiethem, and generalize about them. It demonstrates an innovative way of developing emergent neural representation of knowledge using a new kind of neural networks whose structure is automatically constructed and parameters are automatically computed on the basis of plastic mechanisms implemented in a 作者: 反話 時(shí)間: 2025-3-31 20:27
