標(biāo)題: Titlebook: Bio-Inspired Systems: Computational and Ambient Intelligence; 10th International W Joan Cabestany,Francisco Sandoval,Juan M. Corchado Confe [打印本頁] 作者: 二足動物 時間: 2025-3-21 19:02
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence影響因子(影響力)
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence影響因子(影響力)學(xué)科排名
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence網(wǎng)絡(luò)公開度
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence被引頻次
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence被引頻次學(xué)科排名
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence年度引用
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence年度引用學(xué)科排名
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence讀者反饋
書目名稱Bio-Inspired Systems: Computational and Ambient Intelligence讀者反饋學(xué)科排名
作者: 訓(xùn)誡 時間: 2025-3-22 00:03
Thomas Schwinger,Hans J?rg Burmeister rate is 163.51 MOPS for 11x11 kernels, in a Xilinx Spartan 3 400 FPGA with a 50MHz clock. Formulations, hardware architecture, operation examples and performance comparison with frame-based convolution processors are presented and discussed.作者: Recess 時間: 2025-3-22 01:54 作者: exclusice 時間: 2025-3-22 07:04
Bio-Inspired Systems: Computational and Ambient Intelligence10th International W作者: 商談 時間: 2025-3-22 11:51 作者: 健忘癥 時間: 2025-3-22 13:31 作者: acolyte 時間: 2025-3-22 19:14
Eric Linhart,Bernhard Kittel,André B?chtigeron the hypercube [0,1]., and the class of functions computed by artificial neural networks using a single hidden layer, each unit evaluating a sigmoidal activation function. Our lower bounds are stated in terms of an invariant that measures the oscillations of functions of the space . around the ori作者: 有毛就脫毛 時間: 2025-3-22 21:57
https://doi.org/10.1007/978-3-658-05008-5emporal patterns generated by neuronal activity in a set of coupled neurons. The method here presented allows a quantitative characterization of spatio-temporal patterns and is based on the behavior of a compression-like scheme. The wavelet-based method is faster than the two-dimensional spectral me作者: MORT 時間: 2025-3-23 01:46 作者: 浪蕩子 時間: 2025-3-23 08:52
https://doi.org/10.1007/978-3-531-19606-0ers-Take-All) network. The mathematics of circuit design and operation is discussed . two basic tools: the Liapunov function ensuring the gradient like behavior and the rational choice of the weights that stands for network training to ensure order-preserving trajectories. Dynamics and behavior at e作者: 卷發(fā) 時間: 2025-3-23 11:29
Eric Linhart,Friedrich Hedtrichcomputational cost. This paper describes a novel method to overcome this problem. A set of normalization values associated to the most frequent .-gramsis pre-computed and the model is smoothed with lower .-gramconnectionist or statistical models. The proposed approach is favourably compared to stand作者: 種屬關(guān)系 時間: 2025-3-23 16:46 作者: GEM 時間: 2025-3-23 19:33 作者: Lice692 時間: 2025-3-24 00:42
https://doi.org/10.1007/978-3-658-16714-1asses. Solving a classification task using such an imbalanced data-set is difficult due to the bias of the training towards the majority classes. The aim of this contribution is to analyse the performance of CO.RBFN, a cooperative-competitive evolutionary model for the design of RBFNs applied to cla作者: glans-penis 時間: 2025-3-24 03:38
‘Divide the Dollar’ Using Voting by Vetotead of selecting a subset of variables with forward or backward feature selection procedures, we modify the loss function in such a way that the maximal variation for each covariate is minimized, resulting in models which have sparse dependence on the features. Experiments on artificial data illust作者: 外露 時間: 2025-3-24 06:35
Heinz Brestel,Adolf Freiherr von Kniggeet the index pair giving the maximum KKT violation and combines it with the updating heuristics of Smola and Sch?lkopf enforcing at each training iteration a . condition. In this work we shall present an alternative, much simpler procedure that selects the updating indices as those giving a maximum 作者: CALL 時間: 2025-3-24 11:29
Jahrbuch für Kapitalanleger 1999 consider a Radial Basis Function Network and a Multi-Layer Perceptron. We examine the metrics of data complexity known as . over a wide range of data sets built from real data, and try to extract behaviour patterns from the results. We obtain rules that describe both good or bad behaviours of the A作者: 群島 時間: 2025-3-24 18:14
Thomas Schwinger,Hans J?rg Burmeister proposed technique is most effective when the reliability of the model significantly varies in different areas of input space, as it often happens in many real-world problems, allowing the user to predict how reliable is a given model for each specific situation. Alternatively, the proposed techniq作者: 出生 時間: 2025-3-24 21:30 作者: LITHE 時間: 2025-3-25 01:40
Doris Immich,Christian Gremmelsand the sample covariance matrix around every input vector. This choice yields poor robustness for real input datasets. We propose to use the L1-median to estimate the local mean and covariance matrix with a low sensitivity to outliers. In addition to this, a smoothing phase is considered, which imp作者: 盟軍 時間: 2025-3-25 04:35
Der Psychosomatische Dialog als ?Putzrede“uitable in the system to cooperate with, as well as which tools are needed to achieve the common goal in the system in a cooperative way. On the other hand, awareness allows users to be aware of others’ activities each and every moment. Information about others’ activities combined with their intent作者: Occupation 時間: 2025-3-25 10:49 作者: 外貌 時間: 2025-3-25 14:38
Die Katharsis im psychodramatischen Spiel,his problem for an artificial neural network trained to solve the XOR problem. The network is transformed into the equivalent . which provides a symbolic representation of the knowledge embedded in the network. We develop a mathematical model for the evolution of the fuzzy rule-base parameters durin作者: 新手 時間: 2025-3-25 16:28
Sammelrezensionen Neues vom Psychodrama,t degrees correlation . The models for the neurons, synapses and plasticity rules (STDP) have a common biophysics basis. The neural network is simulated using a mixed analog-digital platform, which performs real-time simulations. We describe the study context, and the models for the neurons and for 作者: bourgeois 時間: 2025-3-25 20:48
https://doi.org/10.1007/978-3-322-95898-3 data-parallel models. In this paper parallelization of a Fuzzy ART algorithm is described and a detailed explanation of its implementation under CUDA is given. Experimental results show the algorithm runs up to 52 times faster on the GPU than on the CPU for testing and 18 times faster for training 作者: HERTZ 時間: 2025-3-26 03:33
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/186358.jpg作者: Aggregate 時間: 2025-3-26 07:44 作者: SLUMP 時間: 2025-3-26 08:34 作者: 肉身 時間: 2025-3-26 16:34
Bio-Inspired Systems: Computational and Ambient Intelligence978-3-642-02478-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Cerebrovascular 時間: 2025-3-26 17:32
https://doi.org/10.1007/978-3-322-95898-3 data-parallel models. In this paper parallelization of a Fuzzy ART algorithm is described and a detailed explanation of its implementation under CUDA is given. Experimental results show the algorithm runs up to 52 times faster on the GPU than on the CPU for testing and 18 times faster for training under specific conditions.作者: 是貪求 時間: 2025-3-26 23:47
Adaptative Resonance Theory Fuzzy Networks Parallel Computation Using CUDA data-parallel models. In this paper parallelization of a Fuzzy ART algorithm is described and a detailed explanation of its implementation under CUDA is given. Experimental results show the algorithm runs up to 52 times faster on the GPU than on the CPU for testing and 18 times faster for training under specific conditions.作者: Alpha-Cells 時間: 2025-3-27 03:58 作者: cajole 時間: 2025-3-27 07:35
Convergence in an Adaptive Neural Network: The Influence of Noise Inputs Correlationaptic weights. Finally, we present experimental results, with a systematic exploration of the network convergence when varying the input correlation, the initial weights and the distribution of hardware neurons to simulate the biological variability.作者: 不遵守 時間: 2025-3-27 09:38 作者: 血統(tǒng) 時間: 2025-3-27 16:47
Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise complex time series and scale-free distributions for the escape times of the system. This finding may be of interest to understand nonlinear phenomena observed in real neural systems and to design bio-inspired artificial neural networks with convenient complex characteristics.作者: 網(wǎng)絡(luò)添麻煩 時間: 2025-3-27 18:01
Improving the Consistency of AHP Matrices Using a Multi-layer Perceptron-Based Modelatrix with adequate values for missing entries and, second, to improve the consistency matrix to an acceptable level. In this paper a model based on Multi-layer Perceptron (MLP) neural networks is presented. This model is capable of completing missing values in AHP pairwise matrices and improving its consistency at the same time.作者: esculent 時間: 2025-3-28 01:44 作者: Ventricle 時間: 2025-3-28 04:18
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constrainrate the ability of the maximal variation method to recover relevant variables from the given ones. A real life study concentrates on a breast cancer dataset containing clinical variables. The results indicate a better performance for the proposed method compared to Cox regression with an .. regularization scheme.作者: 激勵 時間: 2025-3-28 07:47 作者: AVERT 時間: 2025-3-28 12:53
Nonparametric Location Estimation for Probability Density Function Learningroves the estimation by integrating the information from several local clusters. Hence, a specific mixture component is learned for each local cluster. This leads to outperform other proposals where the local kernel is not as robust and/or there are no smoothing strategies, like the manifold Parzen windows.作者: 上下倒置 時間: 2025-3-28 16:49 作者: syring 時間: 2025-3-28 21:57 作者: airborne 時間: 2025-3-29 00:56 作者: Halfhearted 時間: 2025-3-29 05:18 作者: Obvious 時間: 2025-3-29 09:18
Die Katharsis im psychodramatischen Spiel,s a simple remedy for overcoming the slowdown in the learning process incurred by TM. This is based on slightly perturbing the values of the training examples, so that they are no longer symmetric. Simulations demonstrate the usefulness of this approach.作者: sigmoid-colon 時間: 2025-3-29 14:44 作者: GRIPE 時間: 2025-3-29 19:05
A Simple Maximum Gain Algorithm for Support Vector Regressionstarting multipliers. We will numerically show that the proposed procedure requires essentially the same number of iterations than Modification 2 having thus the same time performance while being much simpler to code.作者: declamation 時間: 2025-3-29 21:40
An Awareness-Based Artificial Neural Network for Cooperative Distributed Environmentschniques. It presents a novel non-supervised Artificial Neural Network (ANN) based model for CDE named CAwANN, which uses the information of awareness collaborations occurring in the environment in order to achieve the most suitable awareness-based collaboration / cooperation in the environment.作者: Dealing 時間: 2025-3-30 00:52
Improving Classification under Changes in Class and Within-Class Distributionsecomposed in several (unknown) subclasses, and (b) the prior subclass probabilities may change after training. Experimental results with practical applications show an improvement over an adaptive method based on class priors, while preserving a similar performance when there are no subclass changes.作者: Cytokines 時間: 2025-3-30 06:52 作者: 光亮 時間: 2025-3-30 09:19 作者: inventory 時間: 2025-3-30 12:21
https://doi.org/10.1007/978-3-658-05008-5thods for finding different rhythms on spatio-temporal patterns, as it has a computational complexity .(. ×.) for each 2D-frame of the spatio-temporal pattern. The method also provides a easy method for classifying different qualitative behaviors of the patterns.作者: Emasculate 時間: 2025-3-30 20:04
Eric Linhart,Friedrich Hedtrich complex time series and scale-free distributions for the escape times of the system. This finding may be of interest to understand nonlinear phenomena observed in real neural systems and to design bio-inspired artificial neural networks with convenient complex characteristics.作者: 疾馳 時間: 2025-3-31 00:26
Rebecca B. Morton,Kenneth C. Williamsatrix with adequate values for missing entries and, second, to improve the consistency matrix to an acceptable level. In this paper a model based on Multi-layer Perceptron (MLP) neural networks is presented. This model is capable of completing missing values in AHP pairwise matrices and improving its consistency at the same time.作者: Folklore 時間: 2025-3-31 03:27 作者: 滲入 時間: 2025-3-31 07:04
‘Divide the Dollar’ Using Voting by Vetorate the ability of the maximal variation method to recover relevant variables from the given ones. A real life study concentrates on a breast cancer dataset containing clinical variables. The results indicate a better performance for the proposed method compared to Cox regression with an .. regularization scheme.作者: fiscal 時間: 2025-3-31 10:16 作者: 南極 時間: 2025-3-31 15:24 作者: 厭食癥 時間: 2025-3-31 19:09
0302-9743 cial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (L作者: Sciatica 時間: 2025-3-31 22:40
Eric Linhart,Bernhard Kittel,André B?chtigeral activation function. Our lower bounds are stated in terms of an invariant that measures the oscillations of functions of the space . around the origin. As an application we estimate the minimal number of neurons required to approximate bounded functions satisfying uniform Lipschitz conditions of order . with accuracy ..作者: 轎車 時間: 2025-4-1 04:56 作者: 光滑 時間: 2025-4-1 09:22
Eric Linhart,Friedrich Hedtrichsis pre-computed and the model is smoothed with lower .-gramconnectionist or statistical models. The proposed approach is favourably compared to standard connectionist language models and with statistical back-off language models.