標題: Titlebook: Artificial Intelligence and Soft Computing; 11th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings [打印本頁] 作者: Intimidate 時間: 2025-3-21 18:29
書目名稱Artificial Intelligence and Soft Computing影響因子(影響力)
書目名稱Artificial Intelligence and Soft Computing影響因子(影響力)學科排名
書目名稱Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence and Soft Computing網(wǎng)絡(luò)公開度學科排名
書目名稱Artificial Intelligence and Soft Computing被引頻次
書目名稱Artificial Intelligence and Soft Computing被引頻次學科排名
書目名稱Artificial Intelligence and Soft Computing年度引用
書目名稱Artificial Intelligence and Soft Computing年度引用學科排名
書目名稱Artificial Intelligence and Soft Computing讀者反饋
書目名稱Artificial Intelligence and Soft Computing讀者反饋學科排名
作者: 忍受 時間: 2025-3-21 21:05 作者: 頌揚本人 時間: 2025-3-22 04:09 作者: 性別 時間: 2025-3-22 06:55
Incidental Neural Networks as Nomograms Generatorshe XIII Hilbert’s problem which was presented 1900 in the context of nomography, for the particular nomographic construction. The problem was solved by V. Arnold (a student of Andrey Kolomogorov) in 1957. For numeric data of unknown functional relation we developed the . as nomograms generators – the graphic calculating devices.作者: sphincter 時間: 2025-3-22 12:00
On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive in time-varying environment. The general regression neural network is based on the orthogonal-type kernel functions. The appropriate algorithm is presented in a recursive form. Sufficient simulations confirm empirically the convergence of the algorithm.作者: Feature 時間: 2025-3-22 15:04
Fachenglisch für GesundheitsberufeThis paper presents the parallel architecture of the Recurrent Multi Layer Perceptron learning algorithm. The proposed solution is based on the high parallel three dimensional structure to speed up learning performance. Detailed parallel neural network structures are explicitly shown.作者: 誘騙 時間: 2025-3-22 18:22
Fachenglisch für GesundheitsberufeSufficient conditions for uniform convergence of general regression neural networks, based on the orthogonal series-type kernel, are given. The convergence is guarantee even if variance of noise diverges to infinity. Simulation results are presented.作者: Consensus 時間: 2025-3-22 23:10 作者: mosque 時間: 2025-3-23 04:17
https://doi.org/10.1007/978-3-540-28534-2Sufficient conditions for strong convergence of recursive general regression neural networks are given assuming nonstationary noise. The orthogonal series-type kernel is applied. Simulation results show convergence even if variance of noise diverges to infinity.作者: 搖曳 時間: 2025-3-23 05:39
Norma Huss,Sandra Schiller,Matthias SchmidtA problem of learning in non-stationary environment is solved by making use of order statistics in combination with the Parzen kernel-type regression neural network. Probabilistic properties of the algorithm are investigated and weak convergence is established. Experimental results are presented.作者: 古文字學 時間: 2025-3-23 10:46
Fachgespr?che auf der 14. GI-JahrestagungIn this paper we study probabilistic neural networks based on the Parzen kernels. Weak convergence is established assuming time-varying noise. Simulation results are discussed in details.作者: 多嘴多舌 時間: 2025-3-23 15:08 作者: endure 時間: 2025-3-23 19:16 作者: ventilate 時間: 2025-3-24 00:10
On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-sStrong convergence of general regression neural networks is proved assuming non-stationary noise. The network is based on the orthogonal series-type kernel. Simulation results are discussed in details.作者: Flawless 時間: 2025-3-24 02:54 作者: CHANT 時間: 2025-3-24 09:24 作者: Noisome 時間: 2025-3-24 12:28
Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying NoiseIn this paper we study probabilistic neural networks based on the Parzen kernels. Weak convergence is established assuming time-varying noise. Simulation results are discussed in details.作者: inscribe 時間: 2025-3-24 18:25 作者: 減至最低 時間: 2025-3-24 22:51 作者: anniversary 時間: 2025-3-25 01:56 作者: bourgeois 時間: 2025-3-25 05:03
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162304.jpg作者: 魯莽 時間: 2025-3-25 08:28
Fachenglisch für Gesundheitsberufecipal component analysis (PCA) is considered. The presented approach is carried out using two different neural structures: single-layer network with unsupervised, generalized Hebbian learning (GHA-PCA) and two-layer feedforward network with supervised learning (FF-PCA). In each case considered, the 作者: 冷漠 時間: 2025-3-25 12:47 作者: debacle 時間: 2025-3-25 19:13 作者: reflection 時間: 2025-3-25 23:08
Fachenglisch für Gesundheitsberufehe XIII Hilbert’s problem which was presented 1900 in the context of nomography, for the particular nomographic construction. The problem was solved by V. Arnold (a student of Andrey Kolomogorov) in 1957. For numeric data of unknown functional relation we developed the . as nomograms generators – th作者: 清晰 時間: 2025-3-26 01:05 作者: 表兩個 時間: 2025-3-26 06:02 作者: 享樂主義者 時間: 2025-3-26 09:51
https://doi.org/10.1007/978-3-658-26632-5 in time-varying environment. The general regression neural network is based on the orthogonal-type kernel functions. The appropriate algorithm is presented in a recursive form. Sufficient simulations confirm empirically the convergence of the algorithm.作者: Figate 時間: 2025-3-26 15:42
https://doi.org/10.1007/978-3-658-26632-5g reaching and even exceeding the critical load was proposed. The algorithm was reduced to solving the linear programming problem. The proposed algorithm is sequel to Krauth and Mezard ideas. The algorithm makes it possible to construct networks storage capacity and noise stability of which are comp作者: 無動于衷 時間: 2025-3-26 19:08
https://doi.org/10.1007/978-3-658-26632-5ects marking was proposed here. objects separation can be done on the base of depth (disparity), corresponding to points that should be marked. This allows for elimination of textures, occurring in background and also on objects. The object selection process must be preceded by picture’s depth analy作者: 一起平行 時間: 2025-3-27 00:23
https://doi.org/10.1007/978-3-658-26632-5lem which must be solved on-line. A linear approximation of the model for the current operating point can be used for prediction in MPC, but for significantly nonlinear processes control accuracy may be not sufficient. MPC algorithm in which the neural model is linearised on-line along a trajectory 作者: 免除責任 時間: 2025-3-27 02:42 作者: FANG 時間: 2025-3-27 09:06
Fachgespr?che auf der 14. GI-Jahrestagungg lattices or fully connected graphs. We present numerical results showing that as the spectrum (set of eigenvalues of adjacency matrix) of the resulting activity-based network develops a scale-free dependency. Moreover it strengthens and becomes valid for a wider segment along with the simulation p作者: sorbitol 時間: 2025-3-27 11:14 作者: 過分 時間: 2025-3-27 15:36
An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photomebservations the most important difficulties in properly identifying the true oscillation frequencies of the stars are produced by the gaps in the observation time-series and the presence of atmospheric plus the intrinsic stellar granulation noise, unavoidable also in the case of space observations. 作者: capillaries 時間: 2025-3-27 19:25
Speeding Up the Training of Neural Networks with CUDA Technologyorithms like Levenberg-Marquardt. Parallel architectures have been a common solution in the area of high performance computing, since the technology used in current processors is reaching the limits of speed. An architecture that has been gaining popularity is the GPGPU (General-Purpose computing on作者: anesthesia 時間: 2025-3-28 01:13 作者: CRAMP 時間: 2025-3-28 02:29
Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptrone least squares method is used. The proposed ways make it possible to decrease the cost function value. They enable achievement of a good compromise between the network complexity and the results being obtained. The methods do not require a start of learning of neural networks from the very beginnin作者: Diverticulitis 時間: 2025-3-28 07:43 作者: HEAVY 時間: 2025-3-28 11:20
On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive in time-varying environment. The general regression neural network is based on the orthogonal-type kernel functions. The appropriate algorithm is presented in a recursive form. Sufficient simulations confirm empirically the convergence of the algorithm.作者: 空氣 時間: 2025-3-28 14:41 作者: 疾馳 時間: 2025-3-28 20:25 作者: barium-study 時間: 2025-3-29 00:16 作者: prick-test 時間: 2025-3-29 03:09 作者: 整體 時間: 2025-3-29 09:45 作者: 光滑 時間: 2025-3-29 15:05 作者: ostrish 時間: 2025-3-29 15:50 作者: COM 時間: 2025-3-29 20:21 作者: 核心 時間: 2025-3-30 03:20 作者: Indecisive 時間: 2025-3-30 06:48 作者: 密碼 時間: 2025-3-30 10:37 作者: 吞沒 時間: 2025-3-30 15:28 作者: 為寵愛 時間: 2025-3-30 18:27 作者: 哪有黃油 時間: 2025-3-30 21:48 作者: radiograph 時間: 2025-3-31 03:56
Binary Perceptron Learning Algorithm Using Simplex-Methodthm is sequel to Krauth and Mezard ideas. The algorithm makes it possible to construct networks storage capacity and noise stability of which are comparable to those of Krauth and Mezard algorithm. However suggested modification of the algorithm outperforms.作者: prostatitis 時間: 2025-3-31 06:09
Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Networkllows for elimination of textures, occurring in background and also on objects. The object selection process must be preceded by picture’s depth analysis. This can be done by the novel neural structure: Self-Correcting Neural Network. This structure is working point-by-point with no picture’s segmentation before.作者: Aura231 時間: 2025-3-31 12:21
Spectra of the Spike-Flow Graphs in?Geometrically Embedded Neural Networksing activity-based network develops a scale-free dependency. Moreover it strengthens and becomes valid for a wider segment along with the simulation progress, which implies a highly organised structure of the analysed graph.作者: Aphorism 時間: 2025-3-31 16:50
Conference proceedings 2012ficial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012.The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, im作者: Boycott 時間: 2025-3-31 18:12 作者: Trigger-Point 時間: 2025-4-1 01:03 作者: 演講 時間: 2025-4-1 04:26
Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptrong. They fit very well for improvement of the action of learnt multilayer perceptrons. They may be particularly useful for construction of the devices under microprocessor control, that have not a big memory nor computing power.作者: 預(yù)示 時間: 2025-4-1 07:28
