標題: Titlebook: Artificial Intelligence and Soft Computing; 20th International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2021 [打印本頁] 作者: Hazardous 時間: 2025-3-21 19:39
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)絡公開度
書目名稱Artificial Intelligence and Soft Computing網(wǎng)絡公開度學科排名
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: Foam-Cells 時間: 2025-3-21 20:23
Modification of Learning Feedforward Neural Networks with the BP Methodethod converges relatively slowly. In this paper a new approach to the backpropagation algorithm is presented. The proposed solution speeds up the BP method by using vector calculations. This modification of the BP algorithm was tested on a few standard examples. The obtained performance of both methods was compared.作者: 發(fā)酵劑 時間: 2025-3-22 01:44
https://doi.org/10.1007/978-3-030-87986-0artificial intelligence; classification; computer networks; computer science; computer systems; computer 作者: Mettle 時間: 2025-3-22 06:06 作者: 懶洋洋 時間: 2025-3-22 09:18 作者: Spirometry 時間: 2025-3-22 16:34 作者: Consensus 時間: 2025-3-22 19:26
Durchleuchtung und Subtraktionsangiographieethod converges relatively slowly. In this paper a new approach to the backpropagation algorithm is presented. The proposed solution speeds up the BP method by using vector calculations. This modification of the BP algorithm was tested on a few standard examples. The obtained performance of both methods was compared.作者: 組成 時間: 2025-3-22 23:13
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162313.jpg作者: 小口啜飲 時間: 2025-3-23 04:51
Empirische und theoretische Ausgangspunkte,a (e.g.: investors required return, risk tolerance, goals, and time frame). The objective of this research is to present a two phase deep learning module to csonstruct a financial stocks portfolio that can be used repeatedly to select the most promising stocks and adjust stocks allocations (namely q作者: neolith 時間: 2025-3-23 06:14
Methodologie und Design des Gesamtprojekts,ology of the Factor Augmented Artificial Neural Network Model is applied to improve the predictive capacity of liquidity models compared to traditional econometric methodologies. This hybrid methodology based on dynamic factor models and neural networks is compared with Deep Learning methodologies s作者: 楓樹 時間: 2025-3-23 12:48
https://doi.org/10.1007/3-540-32986-2he relationship between the data and the decision is complex and/or the amount of data to transmit is large (e.g. in biologgers). Artificial Neural Networks (ANNs) can efficiently detect patterns in the input data which makes them suitable for decision making or compression of information for data t作者: Conjuction 時間: 2025-3-23 14:54
Kontrastmittel und Pharmakologie on the QR decomposition. The paper describes mathematical background that needs to be considered during the application of the scaled Givens rotations in neural networks training. The paper concludes with sample simulation results.作者: 熱情的我 時間: 2025-3-23 22:02
Durchleuchtung und Subtraktionsangiographieethod converges relatively slowly. In this paper a new approach to the backpropagation algorithm is presented. The proposed solution speeds up the BP method by using vector calculations. This modification of the BP algorithm was tested on a few standard examples. The obtained performance of both met作者: 本能 時間: 2025-3-23 23:32
Konventionelle R?ntgendiagnostikecently as a way of improving randomized learning of FNNs by adjusting the network parameters to the target function fluctuations. The method employs logistic sigmoid activation functions for hidden nodes. In this study, we introduce other activation functions, such as bipolar sigmoid, sine function作者: frenzy 時間: 2025-3-24 02:31 作者: alabaster 時間: 2025-3-24 09:15
Kontrastmittel und Pharmakologieons within signal and image processing, engineering, biomedicine, analysis of economic time series, etc. We are interested in estimating trend under the presence of heteroscedastic errors in the model. So far, there seem no available studies of the performance of robust neural networks or the taut s作者: TAG 時間: 2025-3-24 14:35 作者: allude 時間: 2025-3-24 17:45 作者: 高腳酒杯 時間: 2025-3-24 20:04 作者: TRAWL 時間: 2025-3-25 01:47
https://doi.org/10.1007/978-3-662-43713-1ls are the research area of many practitioners and theorists. The article aims at examining the impact of settings of various neural network parameters on the results of currency forecasts. The three currency pairs the US dollar, British pound, and Swiss franc to EUR were selected for the analysis. 作者: Osmosis 時間: 2025-3-25 07:17
Diagnostik und Therapie – allgemeinion of the dissolution profile based on spectroscopic data is an alternative to the current destructive and time-consuming method. Raman and near infrared (NIR) spectroscopies are two complementary methods, that provide information on the physical and chemical properties of the tablets and can help 作者: 來自于 時間: 2025-3-25 08:10 作者: Melanocytes 時間: 2025-3-25 11:44
https://doi.org/10.1007/978-3-662-63137-9In general, textile products are structurally complex and highly varied in design, which makes the development of a generalized approach using conventional image processing methods impossible. Deep supervised machine learning models have been very successful on similar problems but cannot be applied作者: Paleontology 時間: 2025-3-25 17:50
Fachwissen für Brandschutzhelferted on the basis of the data density and scattering in the input data space. The density and scattering are expressed by the values of the inner-cluster variances, which are obtained after the preliminary input data clustering. The experiments conducted on the two real datasets evaluated the propose作者: 一致性 時間: 2025-3-25 21:50 作者: 臭名昭著 時間: 2025-3-26 02:56
Juliane Meyerhoff,Christoph Brühlpaper focuses on one such initiative contributing to attaining this goal, namely, the identification or prediction of disease in crops. More specifically the paper examines the automated quantification of the severity of common rust in maize. Previous work has focused on using standard image process作者: 鉆孔 時間: 2025-3-26 07:01 作者: cloture 時間: 2025-3-26 11:55
Factor Augmented Artificial Neural Network vs Deep Learning for Forecasting Global Liquidity Dynamicology of the Factor Augmented Artificial Neural Network Model is applied to improve the predictive capacity of liquidity models compared to traditional econometric methodologies. This hybrid methodology based on dynamic factor models and neural networks is compared with Deep Learning methodologies s作者: 遺忘 時間: 2025-3-26 15:05
Integrate-and-Fire Neurons for Low-Powered Pattern Recognitionhe relationship between the data and the decision is complex and/or the amount of data to transmit is large (e.g. in biologgers). Artificial Neural Networks (ANNs) can efficiently detect patterns in the input data which makes them suitable for decision making or compression of information for data t作者: glisten 時間: 2025-3-26 20:37
A New Variant of the GQR Algorithm for Feedforward Neural Networks Training on the QR decomposition. The paper describes mathematical background that needs to be considered during the application of the scaled Givens rotations in neural networks training. The paper concludes with sample simulation results.作者: 敵意 時間: 2025-3-26 21:05
Modification of Learning Feedforward Neural Networks with the BP Methodethod converges relatively slowly. In this paper a new approach to the backpropagation algorithm is presented. The proposed solution speeds up the BP method by using vector calculations. This modification of the BP algorithm was tested on a few standard examples. The obtained performance of both met作者: In-Situ 時間: 2025-3-27 03:41 作者: PANG 時間: 2025-3-27 06:19 作者: COST 時間: 2025-3-27 13:03 作者: 他日關稅重重 時間: 2025-3-27 14:42
Canine Behavior Interpretation Framework Using Deep Graph Modelior, it remains an unfamiliar concept to non-expertise. Therefore, in this paper, we introduce a framework for analyzing dog behavior, which defines the interrelationship between dog postures through a graph model without any additional devices but a camera. First of all, our framework classifies th作者: 細節(jié) 時間: 2025-3-27 20:40 作者: 變形詞 時間: 2025-3-28 01:55 作者: essential-fats 時間: 2025-3-28 06:10 作者: insightful 時間: 2025-3-28 07:21
Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Artificial Neural Networksion of the dissolution profile based on spectroscopic data is an alternative to the current destructive and time-consuming method. Raman and near infrared (NIR) spectroscopies are two complementary methods, that provide information on the physical and chemical properties of the tablets and can help 作者: Benzodiazepines 時間: 2025-3-28 11:30
Possibilistic Classification Learning Based on Contrastive Loss in Learning Vector Quantizer Network the learning vector quantization (LVQ) realizing a nearest prototype classifier model. Figuring out the problem of classifying based on possibilistic or probabilistic class labels (assignments) leads to the use of likelihood ratio to organize a sustainable approach. To this end, we start with a spe作者: 后天習得 時間: 2025-3-28 15:14 作者: 易改變 時間: 2025-3-28 19:50
Clustering-Based Adaptive Self-Organizing Mapted on the basis of the data density and scattering in the input data space. The density and scattering are expressed by the values of the inner-cluster variances, which are obtained after the preliminary input data clustering. The experiments conducted on the two real datasets evaluated the propose作者: linguistics 時間: 2025-3-29 01:07
Applying Machine Learning Techniques to Identify Damaged Potatoesan algorithm for detecting damaged potato tubers on a conveyor belt that is characterized by speed and accuracy of recognition..The distinctive features of the algorithm are combining the methods of Viola-Jones and the convolutional networks, the application of two complementary classifiers, working作者: 嬰兒 時間: 2025-3-29 03:42
Quantifying the Severity of Common Rust in Maize Using Mask R-CNNpaper focuses on one such initiative contributing to attaining this goal, namely, the identification or prediction of disease in crops. More specifically the paper examines the automated quantification of the severity of common rust in maize. Previous work has focused on using standard image process作者: minaret 時間: 2025-3-29 08:25
0302-9743 Analysis..·??????? Data Mining..?..·??????? Various Problems of Artificial Intelligence..·??????? Bioinformatics, Biometrics and Medical Applications.978-3-030-87985-3978-3-030-87986-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 補角 時間: 2025-3-29 11:24
Methodologie und Design des Gesamtprojekts,how the importance of the impact of monetary policy, financial stability, and the real activity of the economy in the behavior of liquidity. This work may be useful for those interest groups in public and macroeconomic policy, showing the potential in the combination of conventional statistical meth作者: 生命 時間: 2025-3-29 17:30 作者: 收集 時間: 2025-3-29 20:15
Tina Hartmann,Martina Kahl-Scholzided waves in particular, as they are in many ways similar to audio wave signals. This work proposes an adaptation of style-based GAN architecture to time-domain signal generation, and presents its viability for guided waves synthesis, utilizing a database of signals collected in series of pitch-cat作者: AUGER 時間: 2025-3-30 00:16
https://doi.org/10.1007/978-3-662-43713-1nd good quality forecasts for two out of three currency pairs was obtained in the study. The article also presents the relationship between the results generated by the neural network and the settings of these networks - in particular, the impact of the number of delays on forecast errors and the nu作者: 貿(mào)易 時間: 2025-3-30 07:40 作者: 漸變 時間: 2025-3-30 08:38 作者: apiary 時間: 2025-3-30 13:38 作者: 放縱 時間: 2025-3-30 19:33
Integrate-and-Fire Neurons for Low-Powered Pattern Recognition series RC circuits, we developed a trainable neuron model that can be expressed in a recurrent form. Finally, we trained its simulation with an artificially generated dataset of dog postures and implemented it as hardware that showed promising energetic properties.作者: Intuitive 時間: 2025-3-30 23:37 作者: Diskectomy 時間: 2025-3-31 03:15
Impact of ELM Parameters and Investment Horizon for Currency Exchange Predictionnd good quality forecasts for two out of three currency pairs was obtained in the study. The article also presents the relationship between the results generated by the neural network and the settings of these networks - in particular, the impact of the number of delays on forecast errors and the nu作者: 輕率看法 時間: 2025-3-31 09:01
Applying Machine Learning Techniques to Identify Damaged Potatoes in gray gradation and the other in inverted color..The algorithm was implemented using the OpenCV library in Python. Testing was carried out in conditions close to the conditions of potato storage at vegetable bases..The percentage of properly-recognized damaged tubers was 92,1%.作者: 串通 時間: 2025-3-31 11:43
Quantifying the Severity of Common Rust in Maize Using Mask R-CNNrithms and the Mask R-CNN were evaluated on a real-world dataset created from images of maize leaves grown in a greenhouse. The Mask R-CNN was found to outperform the standard image processing algorithms in terms of counting the number of pustules, calculation of the pustule surface area and the ave作者: 后天習得 時間: 2025-3-31 15:50
Canine Behavior Interpretation Framework Using Deep Graph Modele dog posture in frame units, using a machine learning model based on the position information of the dog’s body part in the video captured by the camera. We then analyze dog behavior using graph models that define interrelationships among classified dog postures. We expect that our approach will help non-expertise to understand dog behavior.作者: Amnesty 時間: 2025-3-31 20:18
Efficient Recurrent Neural Network Architecture for Musical Style Transfereling of the music components. The proposed architecture allowed us to improve upon the state of the art solutions in terms of efficiency and range of applications while achieving high precision of the network.作者: 注射器 時間: 2025-4-1 00:43 作者: GROVE 時間: 2025-4-1 02:16
