標(biāo)題: Titlebook: Artificial Neural Nets and Genetic Algorithms; Proceedings of the I David W. Pearson,Nigel C. Steele,Rudolf F. Albrech Conference proceedin [打印本頁] 作者: sustained 時(shí)間: 2025-3-21 18:36
書目名稱Artificial Neural Nets and Genetic Algorithms影響因子(影響力)
書目名稱Artificial Neural Nets and Genetic Algorithms影響因子(影響力)學(xué)科排名
書目名稱Artificial Neural Nets and Genetic Algorithms網(wǎng)絡(luò)公開度
書目名稱Artificial Neural Nets and Genetic Algorithms網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Neural Nets and Genetic Algorithms被引頻次
書目名稱Artificial Neural Nets and Genetic Algorithms被引頻次學(xué)科排名
書目名稱Artificial Neural Nets and Genetic Algorithms年度引用
書目名稱Artificial Neural Nets and Genetic Algorithms年度引用學(xué)科排名
書目名稱Artificial Neural Nets and Genetic Algorithms讀者反饋
書目名稱Artificial Neural Nets and Genetic Algorithms讀者反饋學(xué)科排名
作者: BOAST 時(shí)間: 2025-3-21 22:57 作者: giggle 時(shí)間: 2025-3-22 01:38
A learning probabilistic neural network with fuzzy inference,roposed. The advantages of this network lie in the possibility of classification of the data with substantially overlapping clusters, and tuning of the activation function parameters improves the accuracy of classification. Simulation results confirm the efficiency of the proposed approach in the da作者: PATHY 時(shí)間: 2025-3-22 08:10 作者: 尖叫 時(shí)間: 2025-3-22 12:10 作者: tariff 時(shí)間: 2025-3-22 14:59 作者: 嚙齒動(dòng)物 時(shí)間: 2025-3-22 18:49
A hybrid algorithm for weight and connectivity optimization in feedforward neural networks,or performance because of lack of expressional capacity, while a too large network fits noise or apparent relations in the data sets studied. The work required to find a parsimonious network is often considerable with respect to both time and computational effort. This paper presents a method for tr作者: 揮舞 時(shí)間: 2025-3-23 00:11 作者: Mercurial 時(shí)間: 2025-3-23 04:30
Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression,n feature extraction procedure which maps original patterns into features (factors) space of reduced, possibily very small, dimension. In this paper, we outline that Hebbian unsupervised learning of Hopfield-like neural network is a natural procedure for factor extraction. Due to this learning, fact作者: 使人入神 時(shí)間: 2025-3-23 07:54 作者: parsimony 時(shí)間: 2025-3-23 12:28 作者: Irrepressible 時(shí)間: 2025-3-23 15:35 作者: conifer 時(shí)間: 2025-3-23 20:57
Hybrid Models for Forecasting Air Pollution Episodes,g system for air pollution episodes is widely needed to minimize negative health effects. However the forecasting of air pollution episodes has been observed to be problematic partly due their rareness and short-term nature. The research presented here aims to evaluate different neural network based作者: 富足女人 時(shí)間: 2025-3-23 22:30 作者: Melatonin 時(shí)間: 2025-3-24 04:29
Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting,to determine zones in the input space that are mapped onto the same output, they act in a similar way to kernels of linear mappings but in a nonlinear setting. In the paper we illustrate our ideas using data from a real application, namely forecasting atmospheric pollution for the town of Saint-Etie作者: 小教堂 時(shí)間: 2025-3-24 10:17 作者: harpsichord 時(shí)間: 2025-3-24 11:24 作者: mechanism 時(shí)間: 2025-3-24 16:08
A hybrid algorithm for weight and connectivity optimization in feedforward neural networks,aining feedforward neural networks based on a genetic algorithm (GA), which simultaneously optimizes both weights and network connectivity structure. The proposed method has been found to yield dense and descriptive networks even from training sets of few observations.作者: 啤酒 時(shí)間: 2025-3-24 19:42 作者: HALO 時(shí)間: 2025-3-25 00:30
Binary Factorization in Hopfield-Like Neural Autoassociator: A Promising Tool for Data Compression,ors become the attractors of network dynamics, hence they can be revealed by the random search. The neurodynamics is modeled by Single-Step approximation which is known [5] to be rather accurate for sparsely encoded Hopfield-network. This paper is limited to the case of sparsely encoded factors, but it is not realy constraint for data compression.作者: 緩解 時(shí)間: 2025-3-25 04:44
Influence of Language Parameters Selection on the Coarticulation of the Phonemes for Prosody Trainieech units. The context of three phonemes combinations CCC, VVC, VCV, CVV, VCC, CCV, and CVC (C = consonant, V = vowel) were analyzed for the determination of a next improvement of prosody. The qualitative criteria have been found in this contribution.作者: Glossy 時(shí)間: 2025-3-25 09:08 作者: handle 時(shí)間: 2025-3-25 15:27
Women and Violence: A Theory of Judgmentaining feedforward neural networks based on a genetic algorithm (GA), which simultaneously optimizes both weights and network connectivity structure. The proposed method has been found to yield dense and descriptive networks even from training sets of few observations.作者: 懶鬼才會(huì)衰弱 時(shí)間: 2025-3-25 18:50 作者: 遺忘 時(shí)間: 2025-3-25 21:26
Normativity, Feminism, and Politicsors become the attractors of network dynamics, hence they can be revealed by the random search. The neurodynamics is modeled by Single-Step approximation which is known [5] to be rather accurate for sparsely encoded Hopfield-network. This paper is limited to the case of sparsely encoded factors, but it is not realy constraint for data compression.作者: reptile 時(shí)間: 2025-3-26 02:50 作者: freight 時(shí)間: 2025-3-26 07:32 作者: DOTE 時(shí)間: 2025-3-26 10:16 作者: CLIFF 時(shí)間: 2025-3-26 16:04
Feminist Framing of Europeanisationa specific reference case by means of Monte Carlo simulation. Comparisons between the performances of the proposed neural approach, and those of the CUSUM control chart, are also presented in the paper. The results indicate that the proposed neural network is a practical alternative to the existing control schemes.作者: Inexorable 時(shí)間: 2025-3-26 16:49 作者: Promotion 時(shí)間: 2025-3-27 00:58 作者: OUTRE 時(shí)間: 2025-3-27 04:21
https://doi.org/10.1007/978-1-4020-6835-5y are continuous systems. A frequently used problem domain to check this are the well-known trajectory tracking problems. Some new problems of this problem domain are defined in this paper. The experiments are carried out with the generalized recurrent neural networks and solutions are found for each trajectory of the problem domain.作者: 老巫婆 時(shí)間: 2025-3-27 06:36
https://doi.org/10.1057/9781137454928s implemented with a multiplexer 2/1 whose output is differentiable with respect to all of its inputs, thus enabling the derivatives to be propagated through the network. The relevance of input vectors is learned together with the weights of the network using a gradient-based algorithm.作者: alcoholism 時(shí)間: 2025-3-27 10:28
Normativity, Feminism, and PoliticsSVM, with special proprieties and high discrimination ability. We have applied this kernel in the pattern recognition, and we have compare the different performances of many other kernels, results show that the new kernel is very performant.作者: fiscal 時(shí)間: 2025-3-27 14:19 作者: 聽覺 時(shí)間: 2025-3-27 18:51
Generalized recurrent neural networks and continuous dynamic systems,y are continuous systems. A frequently used problem domain to check this are the well-known trajectory tracking problems. Some new problems of this problem domain are defined in this paper. The experiments are carried out with the generalized recurrent neural networks and solutions are found for each trajectory of the problem domain.作者: 傷心 時(shí)間: 2025-3-28 00:55 作者: 很是迷惑 時(shí)間: 2025-3-28 04:05
,β_SVM a new Support Vector Machine kernel,SVM, with special proprieties and high discrimination ability. We have applied this kernel in the pattern recognition, and we have compare the different performances of many other kernels, results show that the new kernel is very performant.作者: 健忘癥 時(shí)間: 2025-3-28 09:21
Optimal neighbourhood and model quality indicators,dly be verified when a little number of samples is given, which is the most frequent case in practice. We follow a local approach on the basis of an optimal neighbourhood choice. We use this neighbourhood to predict as well as to give some simple model quality indicators for any sample.作者: 自作多情 時(shí)間: 2025-3-28 13:49 作者: 救護(hù)車 時(shí)間: 2025-3-28 17:50 作者: 2否定 時(shí)間: 2025-3-28 22:22 作者: 熱心助人 時(shí)間: 2025-3-28 23:50 作者: APEX 時(shí)間: 2025-3-29 03:30 作者: Acclaim 時(shí)間: 2025-3-29 09:51
A learning probabilistic neural network with fuzzy inference,roposed. The advantages of this network lie in the possibility of classification of the data with substantially overlapping clusters, and tuning of the activation function parameters improves the accuracy of classification. Simulation results confirm the efficiency of the proposed approach in the data classification problems.作者: 憤怒事實(shí) 時(shí)間: 2025-3-29 14:30 作者: MERIT 時(shí)間: 2025-3-29 17:24
Reinforced Search in Stochastic Neural Network,t. Reinforcement signal from environment is used for weights and variance adaptation. This is experimentally compared with more traditional techniques like gradient-based learning algorithm and evolutionary algorithm.作者: 吝嗇性 時(shí)間: 2025-3-29 22:16
Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting,to determine zones in the input space that are mapped onto the same output, they act in a similar way to kernels of linear mappings but in a nonlinear setting. In the paper we illustrate our ideas using data from a real application, namely forecasting atmospheric pollution for the town of Saint-Etienne in France.作者: assail 時(shí)間: 2025-3-30 00:02
Illegible Rage: Performing Femininity in We adapt a boosting algorithm to the problem of predicting future values of time series, using recurrent neural networks as base learners. The experiments we performed show that boosting actually provides improved results and that the weighted median is better for combining the learners than the weighted mean.作者: 細(xì)頸瓶 時(shí)間: 2025-3-30 05:55 作者: heterodox 時(shí)間: 2025-3-30 08:35
Illegible Rage: Performing Femininity in For tapped delay neural architecture impact of discretisation process i.e. sampling and amplitude measurement of the input continuous signals is analysed. By using relative matrix rank and indistinguishable signals concepts we derrive upper and lower bounds of sampling time and input signal frequencies.作者: 浪費(fèi)物質(zhì) 時(shí)間: 2025-3-30 13:09 作者: 詞匯表 時(shí)間: 2025-3-30 20:19
Bounds on Rates of Approximation by Neural Networks in ,,-spaces,We derive upper bounds on rates of convergence of neural network approximation in ..-spaces. Our bounds are based on a version of Maurey-Jones-Barron Theorem for ..-spaces. They are established in terms of ..-norm of a weight function in a neural network with continuum of hidden units representing the function to be approximated.作者: Irascible 時(shí)間: 2025-3-30 22:24 作者: avenge 時(shí)間: 2025-3-31 03:52 作者: 怪物 時(shí)間: 2025-3-31 07:47 作者: JAMB 時(shí)間: 2025-3-31 11:24
https://doi.org/10.1007/978-1-4020-6835-5sessment a novel model validation method is introduced. The method consists of sensitivity analysis integrated into a mathematical-based technique known as analytical hierarchy process (AHP). It ranks the relative importance of factors being compared where the factors are the sensitivities in this c作者: 整潔 時(shí)間: 2025-3-31 16:27 作者: Foreknowledge 時(shí)間: 2025-3-31 21:34
Natalie Havlin,Celiany Rivera-Velázquezroposed. The advantages of this network lie in the possibility of classification of the data with substantially overlapping clusters, and tuning of the activation function parameters improves the accuracy of classification. Simulation results confirm the efficiency of the proposed approach in the da作者: 直覺好 時(shí)間: 2025-4-1 01:38 作者: 反應(yīng) 時(shí)間: 2025-4-1 03:54 作者: sulcus 時(shí)間: 2025-4-1 08:58 作者: 清楚 時(shí)間: 2025-4-1 14:13 作者: 不幸的人 時(shí)間: 2025-4-1 17:27 作者: STIT 時(shí)間: 2025-4-1 18:43
Normativity, Feminism, and Politicsn feature extraction procedure which maps original patterns into features (factors) space of reduced, possibily very small, dimension. In this paper, we outline that Hebbian unsupervised learning of Hopfield-like neural network is a natural procedure for factor extraction. Due to this learning, fact作者: sigmoid-colon 時(shí)間: 2025-4-2 02:38 作者: sclera 時(shí)間: 2025-4-2 03:55 作者: 千篇一律 時(shí)間: 2025-4-2 08:27
Feminist Framing of Europeanisationully for detecting groups of well-defined unnatural patterns in the output measurements of manufacturing processes. This paper discusses the use of a neural network as a means for recognising changes in the state of the monitored process, rather than for identifying a restricted set of unnatural pat
