作者: 槍支 時(shí)間: 2025-3-21 20:55 作者: Meander 時(shí)間: 2025-3-22 02:44
,Risk Assessment Modeling Based on?a?Graded Fuzzy Concept Lattice,aper self-contained, we provide all the necessary information concerning fuzzy concept lattices and their graded version. Theoretical models are further considered in the analysis of pandemic scenario which provides an insight into practical modeling of risk management processes and assessment of particular risks.作者: 決定性 時(shí)間: 2025-3-22 06:10
,Evaluation of?Gated Recurrent Neural Networks for?Embedded Systems Applications,t cell (STAR). We explain the algorithmic details and how these cells can be combined and integrated to build complex structures. We illustrate our approach with experimental results using different architectures and implementations on dedicated test cases.作者: 悠然 時(shí)間: 2025-3-22 09:43
1860-949X e on Computational Intelligence.Written by leading experts i.This book includes a set of selected revised and extended versions of the best papers presented at the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) – held as an online event, from October 25 to 27, 2021. W作者: amyloid 時(shí)間: 2025-3-22 16:12
Conference proceedings 2023tional Intelligence (IJCCI 2021) – held as an online event, from October 25 to 27, 2021. We focus on three outstanding fields of Computational Intelligence through the selected panel, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. Besides presenting the recent advances 作者: amyloid 時(shí)間: 2025-3-22 20:40 作者: 全部逛商店 時(shí)間: 2025-3-23 01:09 作者: 細(xì)頸瓶 時(shí)間: 2025-3-23 04:34
A route to stochastic mechanics,he Autonomous Driving System for a specific type of boat has been updated and it is more detailed here. Furthermore, the ad-hoc Simulator developed to test and validate the ADS was improved in realism degree and other simulations have been performed. Outcoming data and post-analyses are reported here together with our conclusions.作者: 搬運(yùn)工 時(shí)間: 2025-3-23 06:15
https://doi.org/10.1007/978-3-642-82322-0o see that the approach using capsule architecture achieves strong results and exceeds other techniques on a wide range of datasets from industrial application to face recognition benchmarks while being easy to use and optimise.作者: Truculent 時(shí)間: 2025-3-23 11:15
,Improving Simulation Realism in?Developing a?Fuzzy Modular Autonomous Driving System for?Electric Bhe Autonomous Driving System for a specific type of boat has been updated and it is more detailed here. Furthermore, the ad-hoc Simulator developed to test and validate the ADS was improved in realism degree and other simulations have been performed. Outcoming data and post-analyses are reported here together with our conclusions.作者: stress-test 時(shí)間: 2025-3-23 15:09
,One-Shot Identification with?Different Neural Network Approaches,o see that the approach using capsule architecture achieves strong results and exceeds other techniques on a wide range of datasets from industrial application to face recognition benchmarks while being easy to use and optimise.作者: coalition 時(shí)間: 2025-3-23 19:03
Conference proceedings 2023constitutes a precious provision of knowledge for individual researchers as well as represent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fieldsof applications..作者: Esophagus 時(shí)間: 2025-3-24 00:50 作者: 使更活躍 時(shí)間: 2025-3-24 05:19 作者: 淡紫色花 時(shí)間: 2025-3-24 08:50 作者: disparage 時(shí)間: 2025-3-24 14:29 作者: GIDDY 時(shí)間: 2025-3-24 16:13 作者: 地名詞典 時(shí)間: 2025-3-24 19:18 作者: fledged 時(shí)間: 2025-3-25 02:51 作者: connoisseur 時(shí)間: 2025-3-25 03:35 作者: 粘土 時(shí)間: 2025-3-25 09:34
,Improving Simulation Realism in?Developing a?Fuzzy Modular Autonomous Driving System for?Electric Bign involved both Classical Computation and Computational Intelligence techniques (mainly Fuzzy Logic and Artificial Neural Networks) and several version of the same ADS modular architecture have obtained progressively replacing the classical modules with the intelligent ones. The modular architectu作者: Bone-Scan 時(shí)間: 2025-3-25 12:00
,Facing Graph Classification Problems by?a?Multi-agent Information Granulation Approach,work on several heterogeneous datasets. The design of the algorithm is based on a swarm of agents orchestrated via evolutionary optimization in charge of finding meaningful substructures from unstructured training data. The algorithm is tailored to face pattern recognition problems by a suitable emb作者: 機(jī)警 時(shí)間: 2025-3-25 19:23
,One-Shot Identification with?Different Neural Network Approaches,g good features often is computationally expensive in machine learning settings and is especially difficult when there is a lack of data. One-shot learning is one such area where only limited data is available. In one-shot learning, predictions have to be made after seeing only one example from one 作者: 碌碌之人 時(shí)間: 2025-3-25 21:38 作者: 按時(shí)間順序 時(shí)間: 2025-3-26 03:46
Interdisciplinary Applied Mathematicsplete) optimization problem, which consists in finding an optimum set of roles and their assignment to users, is known as the Role Mining Problem (RMP). Since real-world use cases often involve large-scale problems with a high number of users and permissions, it is desirable to find fast solution st作者: 原告 時(shí)間: 2025-3-26 05:55
Stochastic Processes in Cell Biologye Description Languages (HDLs) and powerful logic simulators. HDLs permit circuit designers to design circuits at a very abstract level. These are then tested before being committed to hardware. We present Automatic Design of Digital Circuits (ADDC), a system that employs Grammatical Evolution, Syst作者: anatomical 時(shí)間: 2025-3-26 08:31
Stochastic Processes in Cell Biologyartesian Genetic Programming (CGP) is widely used merely with mutation for genetic variation. Compared to comprehensive and advanced knowledge about crossover in the field of tree-based Genetic Programming, the state of knowledge in CGP appears to be generally weak. Even if CGP was officially introd作者: 谷物 時(shí)間: 2025-3-26 14:36 作者: 斗爭(zhēng) 時(shí)間: 2025-3-26 18:38
Stochastic Processes in Cell Biology the advancement of logistic systems and telecommunications fields. CVRPTW is a elaborate strain of the well studied capacitated vehicle routing problem (CVRP) with a time window framework as an added constraint. As the problems are known to be NP-hard, meta-heuristics proficiently explore the searc作者: miniature 時(shí)間: 2025-3-27 00:03 作者: 精美食品 時(shí)間: 2025-3-27 03:04
A route to stochastic mechanics,ign involved both Classical Computation and Computational Intelligence techniques (mainly Fuzzy Logic and Artificial Neural Networks) and several version of the same ADS modular architecture have obtained progressively replacing the classical modules with the intelligent ones. The modular architectu作者: 不妥協(xié) 時(shí)間: 2025-3-27 06:37
https://doi.org/10.1007/978-3-642-82322-0work on several heterogeneous datasets. The design of the algorithm is based on a swarm of agents orchestrated via evolutionary optimization in charge of finding meaningful substructures from unstructured training data. The algorithm is tailored to face pattern recognition problems by a suitable emb作者: 絆住 時(shí)間: 2025-3-27 09:57
https://doi.org/10.1007/978-3-642-82322-0g good features often is computationally expensive in machine learning settings and is especially difficult when there is a lack of data. One-shot learning is one such area where only limited data is available. In one-shot learning, predictions have to be made after seeing only one example from one 作者: 完整 時(shí)間: 2025-3-27 15:36
Springer Texts in Electrical Engineering (RNNs) are special types of ANNs capable of capturing temporal relationship into a set of data and offer interesting features. However, RNN architectures are complex and their integration on embedded systems implies a proper understanding of inherent structures and algorithms. This paper describes 作者: FLAT 時(shí)間: 2025-3-27 20:20 作者: Incisor 時(shí)間: 2025-3-27 22:05
,Recent Research Topics in?Evolutionary Multiobjective Optimization: A Personal Perspective,The field which is now known as evolutionary multi-objective optimization (EMOO) started in the mid-1980s and since then, it has experienced a significant growth. In this chapter, we discuss some of the (several) research topics that remain open and which, from the author’s perspective, are worth exploring in the next few years.作者: 使苦惱 時(shí)間: 2025-3-28 02:13
Jonathan Garibaldi,Christian Wagner,Kevin WarwickHighlights recent research on Computational Intelligence.Gathers revised papers presented at the 12th and 13th International Joint Conference on Computational Intelligence.Written by leading experts i作者: 辯論 時(shí)間: 2025-3-28 06:27 作者: Ingrained 時(shí)間: 2025-3-28 14:22
https://doi.org/10.1007/978-3-031-46221-4Computational Intelligence; Evolutionary Computation; Fuzzy Computation; Neural Computation; IJCCI Paper作者: FUSE 時(shí)間: 2025-3-28 18:15 作者: MUTED 時(shí)間: 2025-3-28 18:46
Computational Intelligence978-3-031-46221-4Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Kidney-Failure 時(shí)間: 2025-3-29 00:45 作者: 是剝皮 時(shí)間: 2025-3-29 05:22 作者: Heresy 時(shí)間: 2025-3-29 09:21
,An Information Granulation Approach Through ,-Grams for?Text Classification,en .-grams along with a clustering algorithm. The procedure allows embedding a text document – exploiting the Symbolic Histogram technique – in a real-valued vector space where standard Machine Learning algorithms, such as SVM, can safely operate. An evolutionary metaheuristic based on a Genetic Alg作者: monochromatic 時(shí)間: 2025-3-29 11:30 作者: Hemiplegia 時(shí)間: 2025-3-29 16:40
1860-949X ent a valuable sustenance for collective use in academic libraries (of universities and engineering schools) relating innovative techniques in various fieldsof applications..978-3-031-47554-2978-3-031-46221-4Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 惡臭 時(shí)間: 2025-3-29 23:24 作者: Ebct207 時(shí)間: 2025-3-30 03:32
Stochastic Processes in Cell Biology due to the expressiveness of HDLs, ADDC evolved solutions are quite human interpretable. ADDC is tested using three combinational and two sequential circuits. We show that ADDC is successful on all five benchmark problems. In addition, we show that the introduction of simple domain knowledge into g作者: 內(nèi)閣 時(shí)間: 2025-3-30 04:40 作者: 喃喃訴苦 時(shí)間: 2025-3-30 09:45
Interdisciplinary Applied Mathematicsen .-grams along with a clustering algorithm. The procedure allows embedding a text document – exploiting the Symbolic Histogram technique – in a real-valued vector space where standard Machine Learning algorithms, such as SVM, can safely operate. An evolutionary metaheuristic based on a Genetic Alg
