標題: Titlebook: Artificial Intelligence and Soft Computing – ICAISC 2006; 8th International Co Leszek Rutkowski,Ryszard Tadeusiewicz,Jacek M. ?ur Conferenc [打印本頁] 作者: 畸齒矯正學 時間: 2025-3-21 16:56
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006影響因子(影響力)
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006影響因子(影響力)學科排名
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006網(wǎng)絡(luò)公開度學科排名
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006被引頻次
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006被引頻次學科排名
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006年度引用
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006年度引用學科排名
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006讀者反饋
書目名稱Artificial Intelligence and Soft Computing – ICAISC 2006讀者反饋學科排名
作者: BILK 時間: 2025-3-21 21:21
Leszek Rutkowski,Ryszard Tadeusiewicz,Jacek M. ?ur作者: Ophthalmologist 時間: 2025-3-22 02:42 作者: 合適 時間: 2025-3-22 08:28 作者: Apoptosis 時間: 2025-3-22 12:20
Neural Network Implementation in Reprogrammable FPGA Devices – An Example for MLPs easy realization of MLP with arbitrary structure and calculation accuracy. The solution is based on utilization of the structural parallelism of the FPGA device and economical realization of individual neurons. A flexible and effective method has been applied for approximation of the nonlinear act作者: 情節(jié)劇 時間: 2025-3-22 16:12 作者: 大量殺死 時間: 2025-3-22 19:00
Domain Dynamics in Optimization Taskslows one to find more deep minima of the energy than the standard asynchronous dynamics. It is important that the number of calculation does not rise when we replace standard spin dynamics by the domain one.作者: 招人嫉妒 時間: 2025-3-22 21:33
Nonlinear Function Learning by the Normalized Radial Basis Function Networksfunction networks. The parameters of the network including centers, covariance matrices and synaptic weights are trained by the empirical risk minimization. We show the rates of convergence for the networks whose parameters are learned by the complexity regularization.作者: outer-ear 時間: 2025-3-23 04:48
Sum and Product Kernel Regularization Networksd as regularized minimization problems with kernel-based stabilizers exhibit easy derivation of solution, in the shape of a linear combination of kernel functions (one-hidden layer feed-forward neural network schemas). Based on Aronszajn’s formulation of sum of kernels and product of kernels, we der作者: 不吉祥的女人 時間: 2025-3-23 07:38 作者: 手勢 時間: 2025-3-23 10:44 作者: 偏離 時間: 2025-3-23 15:07 作者: Harpoon 時間: 2025-3-23 20:24 作者: 圓木可阻礙 時間: 2025-3-24 01:57
RBF Nets in Faults Localizationwith a metric in the label space. Then, this problem is approximately solved, providing hints on selecting appropriate RBF nets. It was shown that the approximate solution is the exact one in several important cases. Finally, we propose the algorithm for learning the proposed RBF net. The results of作者: 撫慰 時間: 2025-3-24 03:27
A Hypertube as a Possible Interpolation Region of a Neural Models based on the parametric curve modelling. The idea of it is to surround the parametric curve model with the hypertube covering most of the data points used in a neural model training. The practical application of the method will be shown via a system of an unemployment rate in Poland in years 1992-作者: 步履蹣跚 時間: 2025-3-24 07:09 作者: 遵循的規(guī)范 時間: 2025-3-24 13:58
Fast Orthogonal Neural Networksof basic operations associated with the algorithm of a given transform is used in order to substantially reduce the number of adapted weights of the network. Two new types of neurons corresponding to orthogonal basic operations are introduced and formulas for architecture-independent error backpropa作者: 骨 時間: 2025-3-24 15:08 作者: alabaster 時間: 2025-3-24 22:58
A Fast and Numerically Robust Neural Network Training Algorithm adaptively-adjustable time-varying forgetting factor technique, is presented first. Then a U-D factorization-based RPE (UD-RPE) algorithm is proposed to further improve the training rate and accuracy of the FNNs. In comparison with the backpropagation (BP) and existing RPE based training algorithms作者: Nonthreatening 時間: 2025-3-25 02:52 作者: Orthodontics 時間: 2025-3-25 04:54 作者: 磨碎 時間: 2025-3-25 09:28
Estimation of Distribution Algorithm for Optimization of Neural Networks for Intrusion Detection Sysg intrusions in a network. Results are then compared with Particle Swarm Optimization (PSO) based neural classifier and Decision Trees (DT). Empirical results clearly show that evolutionary computing techniques could play an important role in designing real time intrusion detection systems.作者: 沒花的是打擾 時間: 2025-3-25 15:27 作者: 狂亂 時間: 2025-3-25 18:46
Sum and Product Kernel Regularization Networksive new approximation schemas – Sum Kernel Regularization Network and Product Kernel Regularization Network. We present some concrete applications of the derived schemas, demonstrate their performance on experiments and compare them to classical solutions. For many tasks our schemas outperform the classical solutions.作者: beta-carotene 時間: 2025-3-25 21:04 作者: 完全 時間: 2025-3-26 02:05
On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases addition, the database extends classical equivalence relations with fuzzy proximity relations, which provide users with interesting analytical capabilities. In this paper we concentrate on both of these properties when proposing new approaches to interpretation of non-atomic values for decision making purposes.作者: 蝕刻術(shù) 時間: 2025-3-26 06:26
https://doi.org/10.1007/978-94-007-6137-7es used and the network operation speed. Therefore the presented solution can be applied both for implementation of big networks in small FPGA devices and for implementation working in real time, for which high operation speed is required.作者: lymphoma 時間: 2025-3-26 08:57
Martin Lehmann,Per Christensen,Bj?rn Johnsonce, method. The aim of this article is to present the alternative approach to the modelling process, in which the multi-dimensional model of an unknown system is built on the basis of a set of two-dimensional NNs instead of one multi-dimensional NN. The proposed approach results in a chain multi-dimensional model of an analyzed system.作者: NICHE 時間: 2025-3-26 12:49
Chris Sauer,Gray Southon,C. N. G. Dampneyand numerical stability. In addition, it is less sensitive to start-up parameters, such as initial weights and covariance matrix. It has also good model prediction ability and need less training time. The effectiveness of the proposed algorithm is demonstrated via two nonlinear systems modeling and identification examples.作者: fatty-acids 時間: 2025-3-26 17:15
Neural Network Implementation in Reprogrammable FPGA Devices – An Example for MLPes used and the network operation speed. Therefore the presented solution can be applied both for implementation of big networks in small FPGA devices and for implementation working in real time, for which high operation speed is required.作者: Acumen 時間: 2025-3-26 23:32 作者: Daily-Value 時間: 2025-3-27 05:10
A Fast and Numerically Robust Neural Network Training Algorithmand numerical stability. In addition, it is less sensitive to start-up parameters, such as initial weights and covariance matrix. It has also good model prediction ability and need less training time. The effectiveness of the proposed algorithm is demonstrated via two nonlinear systems modeling and identification examples.作者: zonules 時間: 2025-3-27 06:02
Peter Fonagy PhD,Mary Target PhDd the nonlinear free response. In comparison with general nonlinear MPC technique, which hinges on non-convex optimisation, the presented structure is far more reliable and less computationally demanding because it results in a quadratic programming problem, whereas its closed-loop control performance is similar.作者: Compassionate 時間: 2025-3-27 10:38 作者: Accommodation 時間: 2025-3-27 15:05
James Y. L. Thong,Chee-Sing Yapaic solution its approximation is determined by minimizing the cost function. This is done by use of two different approaches: the NN based approach and the GA based one. A number of numerical evaluations are provided in order to verify the proposed techniques. The results are compared, discussed and some final conclusions are drawn.作者: Epithelium 時間: 2025-3-27 20:24
An Efficient Nonlinear Predictive Control Algorithm with Neural Models and Its Application to a Highd the nonlinear free response. In comparison with general nonlinear MPC technique, which hinges on non-convex optimisation, the presented structure is far more reliable and less computationally demanding because it results in a quadratic programming problem, whereas its closed-loop control performance is similar.作者: 其他 時間: 2025-3-28 00:46 作者: 施舍 時間: 2025-3-28 03:11 作者: 材料等 時間: 2025-3-28 08:48
Facilitating Groups to Drive Changeure vectors from particular feature spaces are transformed by layers of formal neurons what results in the aggregation of some feature vectors. The postulate of separable aggregation is aimed at the minimization of the number of different feature vectors under the condition of preserving the categories separabilty.作者: 外面 時間: 2025-3-28 13:13 作者: 娘娘腔 時間: 2025-3-28 18:05 作者: 值得尊敬 時間: 2025-3-28 20:19 作者: Myocyte 時間: 2025-3-29 01:32
Bruce Simmons,Robyn Bushell,Jennifer Scottew data points appear has been analyzed in this paper. Two strategies for retraining the neural network that realizes the multidimensional data visualization have been proposed and then the analysis has been made.作者: glamor 時間: 2025-3-29 06:46
Facilitating Visual Socialities addition, the database extends classical equivalence relations with fuzzy proximity relations, which provide users with interesting analytical capabilities. In this paper we concentrate on both of these properties when proposing new approaches to interpretation of non-atomic values for decision making purposes.作者: 意外的成功 時間: 2025-3-29 08:57
Artificial Intelligence and Soft Computing – ICAISC 2006978-3-540-35750-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: eucalyptus 時間: 2025-3-29 12:47
0302-9743 Overview: 978-3-540-35748-3978-3-540-35750-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: LASH 時間: 2025-3-29 19:17 作者: 描繪 時間: 2025-3-29 19:56
https://doi.org/10.1007/978-94-007-6137-7function networks. The parameters of the network including centers, covariance matrices and synaptic weights are trained by the empirical risk minimization. We show the rates of convergence for the networks whose parameters are learned by the complexity regularization.作者: confide 時間: 2025-3-30 02:20
Systems of Care in North Americaus CNNs. According to our simulation result for the single neuron model, this new C-CNN model has richer and more flexible dynamics, compared to the conventional CNN with only stable dynamics. The hardware implementation of this new network may be important for solving a wide variety of combinatorial optimization problems.作者: jaunty 時間: 2025-3-30 05:45
James Y. L. Thong,Chee-Sing Yapwith a metric in the label space. Then, this problem is approximately solved, providing hints on selecting appropriate RBF nets. It was shown that the approximate solution is the exact one in several important cases. Finally, we propose the algorithm for learning the proposed RBF net. The results of its testing are briefly reported.作者: exorbitant 時間: 2025-3-30 08:44
Richard Baskerville,Jan Pries-Hejes based on the parametric curve modelling. The idea of it is to surround the parametric curve model with the hypertube covering most of the data points used in a neural model training. The practical application of the method will be shown via a system of an unemployment rate in Poland in years 1992-1999.作者: 行業(yè) 時間: 2025-3-30 15:00 作者: 令人不快 時間: 2025-3-30 16:49
Peter Fonagy PhD,Mary Target PhDIn the paper the ability of neural networks in creativity is tested. The creation of new words was chosen as an example task of creativity. Three different approaches based on the neural networks were designed and implemented to perform experiments. From all concerned solutions the best results was produced by the recurrent neural network.作者: painkillers 時間: 2025-3-30 22:48
Creativity of Neural NetworksIn the paper the ability of neural networks in creativity is tested. The creation of new words was chosen as an example task of creativity. Three different approaches based on the neural networks were designed and implemented to perform experiments. From all concerned solutions the best results was produced by the recurrent neural network.作者: crucial 時間: 2025-3-31 01:05
Facilitating Groups to Drive Changea set contains such feature vectors which represent objects assigned to one of a few categories.The term multichannel data sets means that each single object is characterised by data obtained through different information channels and represented by feature vectors in a different feature space. Feat作者: MOTTO 時間: 2025-3-31 07:47 作者: Apoptosis 時間: 2025-3-31 10:38
https://doi.org/10.1007/978-94-007-6137-7s easy realization of MLP with arbitrary structure and calculation accuracy. The solution is based on utilization of the structural parallelism of the FPGA device and economical realization of individual neurons. A flexible and effective method has been applied for approximation of the nonlinear act作者: Formidable 時間: 2025-3-31 16:07
Advances in Business Education and Trainingbeen separately studied or considered as a same problem about these two issues. However, it is obvious that these approaches are not always possible because the evaluation of the performance in classification problems is mostly based on the data distribution and learning methods; therefore this pape作者: vasculitis 時間: 2025-3-31 19:31 作者: Ordeal 時間: 2025-3-31 22:16 作者: Junction 時間: 2025-4-1 01:51
Peter Fonagy PhD,Mary Target PhDd as regularized minimization problems with kernel-based stabilizers exhibit easy derivation of solution, in the shape of a linear combination of kernel functions (one-hidden layer feed-forward neural network schemas). Based on Aronszajn’s formulation of sum of kernels and product of kernels, we der作者: 言外之意 時間: 2025-4-1 07:00 作者: emission 時間: 2025-4-1 12:42
Peter Fonagy PhD,Mary Target PhDa high-purity high-pressure ethylene-ethane distillation column. A neural model of the process is used on-line to determine the local linearisation and the nonlinear free response. In comparison with general nonlinear MPC technique, which hinges on non-convex optimisation, the presented structure is
