標(biāo)題: Titlebook: Artificial Intelligence and Soft Computing; 16th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings [打印本頁(yè)] 作者: Gratification 時(shí)間: 2025-3-21 17:48
書(shū)目名稱Artificial Intelligence and Soft Computing影響因子(影響力)
書(shū)目名稱Artificial Intelligence and Soft Computing影響因子(影響力)學(xué)科排名
書(shū)目名稱Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Artificial Intelligence and Soft Computing被引頻次
書(shū)目名稱Artificial Intelligence and Soft Computing被引頻次學(xué)科排名
書(shū)目名稱Artificial Intelligence and Soft Computing年度引用
書(shū)目名稱Artificial Intelligence and Soft Computing年度引用學(xué)科排名
書(shū)目名稱Artificial Intelligence and Soft Computing讀者反饋
書(shū)目名稱Artificial Intelligence and Soft Computing讀者反饋學(xué)科排名
作者: 厭食癥 時(shí)間: 2025-3-21 22:05 作者: 通情達(dá)理 時(shí)間: 2025-3-22 04:09
Artificial Intelligence and Soft Computing978-3-319-59063-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 歡騰 時(shí)間: 2025-3-22 07:35
https://doi.org/10.1007/978-3-642-37954-3In this paper we consider convergence and rates of convergence of the normalized recursive radial basis function networks in function learning and classification when network parameters are learned by the empirical risk minimization.作者: 機(jī)密 時(shí)間: 2025-3-22 12:07
Giuseppe Conti,Raffaella PaolettiIn this paper, we propose a novel method for optimization of multicast routing. With the use of a NARX neural network, we predict a refresh timeout in PIM–DM algorithm.作者: BAN 時(shí)間: 2025-3-22 15:27 作者: 禁止 時(shí)間: 2025-3-22 21:00 作者: 揮舞 時(shí)間: 2025-3-22 23:02 作者: Hectic 時(shí)間: 2025-3-23 01:51 作者: diathermy 時(shí)間: 2025-3-23 06:55 作者: 完成才會(huì)征服 時(shí)間: 2025-3-23 10:32
Misinformation and Disinformationeginning brings a?brief mathematical background on Givens rotation matrices and elimination step. Then the error criterion and its necessary transformations for the QR decomposition are presented. The paper’s core holds an essential explanation to accomplish hardware-based parallel implementation. T作者: FLIC 時(shí)間: 2025-3-23 16:21
From 1984 to Total Information Awarenesshich will also work for MLP but some cells will stay empty. This approach is based on a very interesting idea of learning neural networks without error backpropagation. The presented architecture is based on completely new parallel structures to significantly reduce a very high computational load of作者: sundowning 時(shí)間: 2025-3-23 18:40 作者: 縫紉 時(shí)間: 2025-3-23 23:25 作者: 先鋒派 時(shí)間: 2025-3-24 03:59
Facebook in der Sozialen Arbeitistic for nervous systems. These models have been successfully applied to automatically construct neural graphs that consolidate representation of all sorted objects and relations between them. The introduced parallely working algorithm sorts objects simultaneously for all attributes constructing an作者: Antimicrobial 時(shí)間: 2025-3-24 06:34 作者: Pelago 時(shí)間: 2025-3-24 13:53
https://doi.org/10.1007/978-3-531-92455-7ing musical sequences. In this paper, we propose a new task of ESNs in order to solve distributed optimal control problems for systems governed by parabolic differential equations with discrete time delay using an adaptive critic designs. The optimal control problems are discretised by using a finit作者: BILK 時(shí)間: 2025-3-24 18:38
https://doi.org/10.1007/978-3-531-92455-7adients while number of layers increases. While such networks are very powerful they are difficult in training. The paper discusses capabilities of different neural network architectures and presents the proposition of new multilayer architecture with additional linear neurons, that is much easier t作者: 勾引 時(shí)間: 2025-3-24 23:03 作者: 闖入 時(shí)間: 2025-3-25 02:10
https://doi.org/10.1007/978-1-4302-1050-4ding to shifts in the sequences. A mathematical tool to achieve a respective invariant representation and comparison of sequences are Hankel matrices with an appropriate dissimilarity measure based on subspace angles. We discuss their mathematical properties and show how they can be incorporated in 作者: cauda-equina 時(shí)間: 2025-3-25 06:38
https://doi.org/10.1007/978-1-4302-1050-4ness. Proposed DCT method is used to reduce the size of system which results in faster processing with limited and controlled precision lost. Proposed method is compared to other ones like Fuzzy Systems, Neural Networks, Support Vector Machines, etc. to investigate the ability to solve sample proble作者: antidote 時(shí)間: 2025-3-25 09:21 作者: Antimicrobial 時(shí)間: 2025-3-25 15:07
Geometric Structures as Design Approach,onen learning rule is used with random parameters providing different neuron locations. Any new neuron configuration allows us to obtain a new ETSP solution. This new approach to exploring the solution space of the ETSP is easy to implement and suitable for relatively large ETSP problems. Furthermor作者: ANTIC 時(shí)間: 2025-3-25 17:49 作者: 克制 時(shí)間: 2025-3-25 23:16 作者: 四海為家的人 時(shí)間: 2025-3-26 02:51
Author Profiling with Classification Restricted Boltzmann Machinesfiling framework with no need for handcrafted features and only minor use of text preprocessing and feature engineering. The classifier achieves competitive results when evaluated with the PAN-AP-13 corpus: 36.59% joint accuracy, 57.83% gender accuracy and 59.17% age accuracy. We also examine the re作者: Perennial長(zhǎng)期的 時(shí)間: 2025-3-26 07:18 作者: 瑣碎 時(shí)間: 2025-3-26 10:07
Parallel Levenberg-Marquardt Algorithm Without Error Backpropagationhich will also work for MLP but some cells will stay empty. This approach is based on a very interesting idea of learning neural networks without error backpropagation. The presented architecture is based on completely new parallel structures to significantly reduce a very high computational load of作者: 單純 時(shí)間: 2025-3-26 14:09
Spectral Analysis of CNN for Tomato Disease Identificationresults generated by a specific network without considering how the internal part of the network itself has generated those results. The visualization of the activations and features of the neurons generated by the network can help to determine the best network architecture for our proposed idea. By作者: 寬度 時(shí)間: 2025-3-26 20:14
From Homogeneous Network to Neural Nets with Fractional Derivative Mechanismuse of calculus of finite differences proposed by Dudek-Dyduch E. and then developed jointly with Tadeusiewicz R. and others. This kind of neural nets was applied mainly to different features extraction i.e. edges, ridges, maxima, extrema and many others that can be defined with the use of classic d作者: oncologist 時(shí)間: 2025-3-27 00:13 作者: 都相信我的話 時(shí)間: 2025-3-27 03:22 作者: Capture 時(shí)間: 2025-3-27 06:51 作者: Allure 時(shí)間: 2025-3-27 10:58 作者: 控訴 時(shí)間: 2025-3-27 16:54
Solar Event Classification Using Deep Convolutional Neural Networksmance of computer vision and image recognition systems in domains such as medical imaging, object recognition, and scene characterization. In this work, we present the first attempt into bringing CNNs to the field of Solar Astronomy, with the application of solar event recognition. With the objectiv作者: 討好女人 時(shí)間: 2025-3-27 21:32
Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matricesding to shifts in the sequences. A mathematical tool to achieve a respective invariant representation and comparison of sequences are Hankel matrices with an appropriate dissimilarity measure based on subspace angles. We discuss their mathematical properties and show how they can be incorporated in 作者: bile648 時(shí)間: 2025-3-27 22:19 作者: 易達(dá)到 時(shí)間: 2025-3-28 05:53
Improvement of RBF Training by Removing of Selected Patternetwork capacities. During training process the error for the most patterns reaches low error very fast and is hold to the end of training so can be safely removed without prejudice to further training process. Skilful removal of patterns during training allow to achieve better training results decre作者: ALB 時(shí)間: 2025-3-28 09:55
Exploring the Solution Space of the Euclidean Traveling Salesman Problem Using a Kohonen SOM Neural onen learning rule is used with random parameters providing different neuron locations. Any new neuron configuration allows us to obtain a new ETSP solution. This new approach to exploring the solution space of the ETSP is easy to implement and suitable for relatively large ETSP problems. Furthermor作者: 一再困擾 時(shí)間: 2025-3-28 12:54 作者: 犬儒主義者 時(shí)間: 2025-3-28 18:40 作者: 嗎啡 時(shí)間: 2025-3-28 22:26 作者: SYN 時(shí)間: 2025-3-29 00:59 作者: 防水 時(shí)間: 2025-3-29 06:30 作者: athlete’s-foot 時(shí)間: 2025-3-29 09:46
Misinformation and Disinformationations for the QR decomposition are presented. The paper’s core holds an essential explanation to accomplish hardware-based parallel implementation. The paper concludes with a theoretical description of speed improvement gained by parallel implementation of the Givens reduction in the QR decomposition process.作者: 懶惰人民 時(shí)間: 2025-3-29 13:16 作者: 施加 時(shí)間: 2025-3-29 17:36
https://doi.org/10.1007/978-3-531-92455-7fferent neural network architectures and presents the proposition of new multilayer architecture with additional linear neurons, that is much easier to train that traditional MLP network and reduces effect of vanishing gradients. Efficiency of suggested approach has been confirmed by several exeriments.作者: 大門(mén)在匯總 時(shí)間: 2025-3-29 19:55
https://doi.org/10.1007/978-1-4302-1050-4 method is compared to other ones like Fuzzy Systems, Neural Networks, Support Vector Machines, etc. to investigate the ability to solve sample problem. The results show that the method can be successfully used and the results are comparable or better to those achieved by other methods considered as powerful ones.作者: 漫不經(jīng)心 時(shí)間: 2025-3-29 23:59
Author Profiling with Classification Restricted Boltzmann Machinestitive results when evaluated with the PAN-AP-13 corpus: 36.59% joint accuracy, 57.83% gender accuracy and 59.17% age accuracy. We also examine the relations between discriminative, generative and hybrid training methods.作者: mechanical 時(shí)間: 2025-3-30 04:13 作者: bisphosphonate 時(shí)間: 2025-3-30 10:44 作者: 領(lǐng)帶 時(shí)間: 2025-3-30 15:47
The Study of Architecture MLP with Linear Neurons in Order to Eliminate the “vanishing Gradient” Profferent neural network architectures and presents the proposition of new multilayer architecture with additional linear neurons, that is much easier to train that traditional MLP network and reduces effect of vanishing gradients. Efficiency of suggested approach has been confirmed by several exeriments.作者: pester 時(shí)間: 2025-3-30 16:52 作者: enhance 時(shí)間: 2025-3-30 20:57 作者: 跑過(guò) 時(shí)間: 2025-3-31 03:25 作者: BUDGE 時(shí)間: 2025-3-31 06:45
Conference proceedings 201774 submissions. ?The papers included in the first volume?are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; computer vision, image and speech analysis; and bioinformatics, biometrics and medical applications..作者: malapropism 時(shí)間: 2025-3-31 12:58 作者: CRASS 時(shí)間: 2025-3-31 17:26 作者: superfluous 時(shí)間: 2025-3-31 17:34
https://doi.org/10.1007/978-3-531-92455-7e element method in time and space, then transcribed into a nonlinear programming problems. To find optimal controls and optimal trajectories ESNs adaptive critic designs are used to approximate co-state equations. The efficiency of our approach is demonstrated for a SIR distributed system to control the spread of diseases.作者: 補(bǔ)角 時(shí)間: 2025-3-31 23:29
