標(biāo)題: Titlebook: Artificial Intelligence and Soft Computing; 22nd International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2023 [打印本頁] 作者: Interpolate 時間: 2025-3-21 16:21
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(xué)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(xué)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(xué)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(xué)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(xué)科排名
作者: ticlopidine 時間: 2025-3-21 23:10 作者: 盤旋 時間: 2025-3-22 01:42 作者: 現(xiàn)存 時間: 2025-3-22 07:18
Michel E. Domsch,Sven H. A. Siemers that the proposed FH-K-SVCR model retains the advantages of a .-SVCR which achieves high classification performance in multi-classes classification task, and increases fault tolerance and robustness by using fuzzy set theory.作者: Parallel 時間: 2025-3-22 09:28 作者: Magnificent 時間: 2025-3-22 13:36
https://doi.org/10.1007/978-3-658-11219-6xiliary pretrained domain classification model can be used to build robust, shared domain feature representations. Our model achieves a classification accuracy improvement in standard cross-domain sentiment classification tasks over the baseline model in most cases.作者: SHOCK 時間: 2025-3-22 20:54
Karlheinz Lohs,Peter Elstner,Ursula Stephanod improves the resilience to adversarial attacks by achieving up to 17.1%, 22.8%, and 16.6% higher accuracy against BIM, FGSM, and PGD attacks, respectively, over ResNet-18 trained on the CIFAR-10 dataset.作者: BOGUS 時間: 2025-3-23 00:04
Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changesgorithms in simple but highly-dynamic tasks. It also exhibits a “paradox of choice” effect that has been observed in humans. The new rule may encapsulate a core principle of biological intelligence; an important component of human-like learning and adaptation - with both its benefits and trade-offs.作者: 熔巖 時間: 2025-3-23 02:00 作者: 莊嚴(yán) 時間: 2025-3-23 09:12
Learning Representations by?Crystallized Back-Propagating Errors Since neural hierarchies are established because of the algorithm, ANN compartments start to function in terms of cognitive levels. This study shows the importance of dealing with ANN in hierarchies through backpropagation and brings in learning methods as novel ways of interacting with ANN. Practi作者: 火花 時間: 2025-3-23 13:02 作者: 放逐某人 時間: 2025-3-23 15:21 作者: Anterior 時間: 2025-3-23 18:41 作者: Eructation 時間: 2025-3-24 01:19
Learning Activation Functions for?Adversarial Attack Resilience in?CNNsod improves the resilience to adversarial attacks by achieving up to 17.1%, 22.8%, and 16.6% higher accuracy against BIM, FGSM, and PGD attacks, respectively, over ResNet-18 trained on the CIFAR-10 dataset.作者: 巧辦法 時間: 2025-3-24 04:00
A Novel Approach to the GQR Algorithm for Neural Networks Trainingre of this paper contains a mathematical explanation for the batch approach, which can be utilized in the GQR algorithm. The final section of the article contains several simulations. They prove the novel approach to be superior to the original GQR algorithm.作者: 空中 時間: 2025-3-24 08:48
On Speeding up the Levenberg-Marquardt Learning Algorithm effectively reduce the high computational load of the LM algorithm. The detailed application of proposed methods in the process of learning neural networks is explicitly discussed. Experimental results have been obtained for all proposed methods and they confirm a very good performance of them.作者: delusion 時間: 2025-3-24 13:01
Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changesrast, biological learning seems to value efficient adaptation to a constantly changing world. Here we build on a recently proposed model of neuronal learning that suggests neurons predict their own future activity to optimize their energy balance. That work proposed a neuronal learning rule that use作者: Handedness 時間: 2025-3-24 18:28 作者: DOSE 時間: 2025-3-24 20:09
The Analysis of?Optimizers in?Training Artificial Neural Networks Using the?Streaming Approachroach involves the continuous selection of the most crucial elements from the training set, utilizing data stream analysis. However, transitioning to this new learning paradigm raises several questions. In this study, we explore the significance of employing different optimizers for training neural 作者: 切掉 時間: 2025-3-25 01:19
Training Neural Tensor Networks with?Corrupted Relationsight be trained, and hypothesize that our novel objectives may bolster the neural tensor network’s performance through so-called negative learning. We illustrate that our new training objectives can show more stable training behaviour than the original training objective, and that they can result in作者: 發(fā)現(xiàn) 時間: 2025-3-25 05:06
Application of?Monte Carlo Algorithms with?Neural Network-Based Intermediate Area to?the?Thousand Cae on the part of computer players. The main goal of this study is to create modern artificial intelligence algorithms based on neural networks and algorithms based on the Monte Carlo method to control players in the popular card game called Thousand. We propose two approaches based on neural network作者: Nonconformist 時間: 2025-3-25 08:40 作者: Infusion 時間: 2025-3-25 12:49
Fuzzy Hyperplane Based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Pation that is called a fuzzy hyperplane-based support vector classification regression for .-class classification (FH-.-SVCR). The main characteristics of the proposed FH-.-SVCR are that it assigns fuzzy membership degrees to every data vector according to the importance and the parameters for the h作者: 歡樂東方 時間: 2025-3-25 15:52 作者: 尋找 時間: 2025-3-25 20:24 作者: Matrimony 時間: 2025-3-26 01:42
The Geometry of?Decision Borders Between Affine Space Prototypes for?Nearest Prototype Classifiers approaches such as “Tangent Learning Vector Quantization" and “Tangent Distance Kernel for Support Vector Machines" for classification of data. These models assume that there are class invariant manifolds that can be locally approximated by an affine space of similar dimensions. However, in practic作者: 無所不知 時間: 2025-3-26 05:50 作者: 縱欲 時間: 2025-3-26 09:46
Viscosity Estimation of?Water-PVP Solutions from?Droplets Using Artificial Neural Networks and?Imagein many industrial areas, such as the chemical, pharmaceutical, and energy-related industries. Capillary viscometers are the most used instrument for measuring viscosity. Still, they are expensive and complex, which represents a challenge in industries where accurate and real-time viscosity knowledg作者: 發(fā)誓放棄 時間: 2025-3-26 15:51 作者: Commemorate 時間: 2025-3-26 19:48
Unsupervised Representation Learning: Target Regularization for?Cross-Domain Sentiment Classificatioassification problem. Finding domain invariant feature representations is a transfer learning method for transmitting knowledge between source and target domain data. Our method aims to avoid the overfitting of an autoencoder model on source domain training data in a trained embedded feature space u作者: 誤傳 時間: 2025-3-26 21:13
Decentralized Federated Learning Loop with?Constrained Trust Mechanismutes to the generalization of it, although there is a possibility of attacks. An example of this is dataset poisoning. Hence, in this research paper, we propose the introduction of a constrained trust mechanism for individual clients. In addition, a decentralized approach makes it possible to increa作者: 凝乳 時間: 2025-3-27 01:07 作者: 銀版照相 時間: 2025-3-27 06:08 作者: 厚顏 時間: 2025-3-27 13:28 作者: inventory 時間: 2025-3-27 14:21 作者: Injunction 時間: 2025-3-27 19:44 作者: CHART 時間: 2025-3-27 23:02
The Analysis of?Optimizers in?Training Artificial Neural Networks Using the?Streaming Approachthis new learning paradigm raises several questions. In this study, we explore the significance of employing different optimizers for training neural networks using the streaming method. Experimental results are presented based on a detailed analysis of a convolutional neural network trained on the MNIST dataset.作者: 1分開 時間: 2025-3-28 04:07
Training Neural Tensor Networks with?Corrupted Relations illustrate that our new training objectives can show more stable training behaviour than the original training objective, and that they can result in better behaviour from the model on a selected problem. We also show that our training objectives may be less extensible into more complex problem domains than the original, however.作者: 災(zāi)難 時間: 2025-3-28 09:53 作者: anniversary 時間: 2025-3-28 10:46
Conference proceedings 2023Their Applications;?Evolutionary Algorithms and Their Applications; and Artificial Intelligence in Modeling and Simulation...Part II:?Computer Vision, Image and Speech Analysis;?Various Problems of Artificial Intelligence;?Bioinformatics, Biometrics and Medical Applications; and?Data Mining and Pateern Classification...?.作者: electrolyte 時間: 2025-3-28 15:11
Conference proceedings 2023nce and Soft Computing, ICAISC 2023, held in Zakopane, Poland, during June 18–22, 2023. ..The 84 revised full papers presented in these proceedings were carefully reviewed and selected from 175 submissions. ..The papers are organized in the following topical sections: ..Part I:? Neural Networks and 作者: 重疊 時間: 2025-3-28 22:47
Michel E. Domsch,Sven H. A. Siemersion sequences: grasp, move, position, release, and reach. We present experimental results of gesture recognition achieved by a spatio-temporal graph convolutional neural network on real RGB image sequences.作者: liposuction 時間: 2025-3-28 23:55
Fachlaufbahnen in der Altenpflegeoftware synthesizers to train a universal model. It is a good base for further transfer learning to quickly adapt transcription model for other instruments. Achieved results prove that using synthesized data for training may be a good base for pretraining general-purpose models, where the task of transcription is not focused on one instrument.作者: bibliophile 時間: 2025-3-29 06:07 作者: evasive 時間: 2025-3-29 09:56 作者: POWER 時間: 2025-3-29 12:24
Transfer of?Knowledge Among Instruments in?Automatic Music Transcriptionoftware synthesizers to train a universal model. It is a good base for further transfer learning to quickly adapt transcription model for other instruments. Achieved results prove that using synthesized data for training may be a good base for pretraining general-purpose models, where the task of transcription is not focused on one instrument.作者: 溫和女人 時間: 2025-3-29 16:39
An Interpretable Two-Layered Neural Network Structure–Based on?Component-Wise Reasoningdden layer, and show that Matching the right objective function with activation function of the output layer, is the key to interpreting the weights and their influence on component-wise classification.作者: fatty-acids 時間: 2025-3-29 22:10
0302-9743 er Vision, Image and Speech Analysis;?Various Problems of Artificial Intelligence;?Bioinformatics, Biometrics and Medical Applications; and?Data Mining and Pateern Classification...?.978-3-031-42504-2978-3-031-42505-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Factorable 時間: 2025-3-30 03:14
Fachkundenachweis Rettungsdienstements for computing complexity. The research showed no significant differences in the Monte Carlo approaches and the corresponding neural network methods. In the case of recursive method invocation, the effectiveness increased compared to the base methods.作者: Palliation 時間: 2025-3-30 06:08
Nicola K. Schorn,Karin Buchholzstics to train an Artificial Neural Network model to estimate the viscosity values of the solutions. The proposed model was able to predict the viscosity value of the samples using the characteristics of their droplets with an accuracy of 83.08% on the test dataset.作者: eustachian-tube 時間: 2025-3-30 11:53
Christina Middelberg,Julia T?rperve accuracy without the need to directly optimize it in the agent’s reward function. In our experiments, we were able to reduce the total number of FLOPS of multiple popular neural network architectures by 5–10., incurring minimal or no performance drop and being on par with the solution found by maximizing the accuracy.作者: 爵士樂 時間: 2025-3-30 14:43
Application of?Monte Carlo Algorithms with?Neural Network-Based Intermediate Area to?the?Thousand Caements for computing complexity. The research showed no significant differences in the Monte Carlo approaches and the corresponding neural network methods. In the case of recursive method invocation, the effectiveness increased compared to the base methods.作者: Meager 時間: 2025-3-30 19:26
Viscosity Estimation of?Water-PVP Solutions from?Droplets Using Artificial Neural Networks and?Imagestics to train an Artificial Neural Network model to estimate the viscosity values of the solutions. The proposed model was able to predict the viscosity value of the samples using the characteristics of their droplets with an accuracy of 83.08% on the test dataset.作者: Permanent 時間: 2025-3-30 23:44 作者: 種子 時間: 2025-3-31 04:46
https://doi.org/10.1007/978-3-031-42505-9algorithmic game theory and mechanism design; artificial intelligence; evolutionary algorithms; genetic作者: RLS898 時間: 2025-3-31 08:47
978-3-031-42504-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Legion 時間: 2025-3-31 12:35
Artificial Intelligence and Soft Computing978-3-031-42505-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 黃瓜 時間: 2025-3-31 13:32
Medikolegale Aspekte im Rettungsdienstre of this paper contains a mathematical explanation for the batch approach, which can be utilized in the GQR algorithm. The final section of the article contains several simulations. They prove the novel approach to be superior to the original GQR algorithm.作者: 高度表 時間: 2025-3-31 19:31
Periphere und zentrale Venenzug?nge effectively reduce the high computational load of the LM algorithm. The detailed application of proposed methods in the process of learning neural networks is explicitly discussed. Experimental results have been obtained for all proposed methods and they confirm a very good performance of them.作者: 柔聲地說 時間: 2025-4-1 00:58 作者: Optic-Disk 時間: 2025-4-1 02:11
Periphere und zentrale Venenzug?nge effectively reduce the high computational load of the LM algorithm. The detailed application of proposed methods in the process of learning neural networks is explicitly discussed. Experimental results have been obtained for all proposed methods and they confirm a very good performance of them.作者: 松緊帶 時間: 2025-4-1 09:18
G. John,K. Kursatz,J. E. Schmidtrast, biological learning seems to value efficient adaptation to a constantly changing world. Here we build on a recently proposed model of neuronal learning that suggests neurons predict their own future activity to optimize their energy balance. That work proposed a neuronal learning rule that use作者: dissolution 時間: 2025-4-1 13:48
Periphere und zentrale Venenzug?ngeuming, repetitive, and error-prone process. Instead of manually defining all waypoints for a broad range of cables, automation can provide globally optimized and valid paths for accelerated product development. To establish automated electrical routing, an industrial-oriented application is directly
