作者: opalescence 時(shí)間: 2025-3-21 23:34
Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence on a financial market. Market timing strategies can be built by using a collection of components or functions that process market context and return a recommendation on the course of action to take. In this chapter, we revisit the work presented in [.] on the application of Genetic Algorithms (GA) 作者: chisel 時(shí)間: 2025-3-22 03:56
Hybrid Strategy Coupling EGO and CMA-ES for Structural Topology Optimization in Statics and Crashworlications. However, many TO optimization techniques are still questionable when applied to crashworthiness optimization problems due to their complexity and lack of gradient information. The aim of this work is to describe the Hybrid Kriging-assisted Level Set Method (HKG-LSM) and test its performan作者: FRAUD 時(shí)間: 2025-3-22 05:47 作者: receptors 時(shí)間: 2025-3-22 12:47
Handling Complexity in Some Typical Problems of Distributed Systems by Using Self-organizing Principnents, heterogeneity, problem size and dynamic changes of the environment. These challenges are especially emphasized in distributed software systems. To cope with unforeseen dynamics in the environment and vast number of unpredictable dependencies on participating components, employing of self-orga作者: Vertebra 時(shí)間: 2025-3-22 14:40 作者: Vertebra 時(shí)間: 2025-3-22 20:05 作者: 冷淡周邊 時(shí)間: 2025-3-22 23:43
Fuzzy Geometric Approach to Collision Estimation Under Gaussian Noise in Human-Robot Interactionue of the human-robot navigation is the computation of the intersection point in the presence of noisy measurements or fuzzy information. For Gaussian distributions of positions/orientations (inputs) of robot and human agent and their parameters the corresponding parameters at the intersections (out作者: 宏偉 時(shí)間: 2025-3-23 03:00 作者: 高興去去 時(shí)間: 2025-3-23 07:26 作者: geriatrician 時(shí)間: 2025-3-23 10:44 作者: 無王時(shí)期, 時(shí)間: 2025-3-23 14:38
Near Optimal Solving of the (N,–1)-puzzle Using Heuristics Based on?Artificial Neural Networks explores configurations of the puzzle in the order determined by a heuristic that tries to estimate the minimum number of moves needed to reach the goal from the given configuration. To guarantee finding an optimal solution, the A* algorithm requires heuristics that estimate the number of moves fro作者: 馬具 時(shí)間: 2025-3-23 19:12 作者: Hemiplegia 時(shí)間: 2025-3-24 00:16
CVaR Q-Learningvalue-at-risk (CVaR). We describe a faster method for computing value iteration updates for CVaR markov decision processes (MDP). This improvement then opens doors for a sampling version of the algorithm, which we call CVaR Q-learning. In order to allow optimizing CVaR on large state spaces, we also作者: FOVEA 時(shí)間: 2025-3-24 06:12 作者: 油膏 時(shí)間: 2025-3-24 09:18
Introduction to Sequential Heteroscedastic Probabilistic Neural Networksork (SHPNN). The aforementioned algorithm is a variant of probabilistic neural networks (PNNs). This algorithm has the advantage of being structurally flexible to match the complexities of the data space. Another distinctive feature of this algorithm is the fact that it can achieve roughly the same 作者: 省略 時(shí)間: 2025-3-24 11:14 作者: Injunction 時(shí)間: 2025-3-24 18:38
https://doi.org/10.1007/978-981-99-0385-6aluations. It takes advantage of the explorative capabilities of EGO ensuring a fast convergence at the beginning of the optimization procedure, as well as the flexibility and robustness of CMA-ES to exploit promising regions of the search space Precisely, HKG-LSM first uses the Kriging-based method作者: fatty-streak 時(shí)間: 2025-3-24 20:58 作者: 武器 時(shí)間: 2025-3-25 03:12 作者: 燈絲 時(shí)間: 2025-3-25 05:43 作者: 濕潤 時(shí)間: 2025-3-25 11:20
Noodle-Map Chaos: A Simple Exampleeness for high-dimensional samples: on the set of 653 predictors, we obtained 68% accuracy on average, whereas on the reduced set of 100 predictors, we could improve this result only up to 70%. Furthermore, this study introduces the most important predictor variables used in the generated Fuzzy Logi作者: 變白 時(shí)間: 2025-3-25 12:48
J. L. Hudson,J. C. Mankin,O. E. R?ssleronomy ranking before and after compensating for route inclination and payload. We found that supplier depot and driver are the primary factors related to shrinkage, and that a relatively small fraction of depots and drivers cause the majority of shrinkage. Compensating for non-driver factors however作者: 流利圓滑 時(shí)間: 2025-3-25 19:10 作者: Extemporize 時(shí)間: 2025-3-25 23:41
https://doi.org/10.1007/978-1-4612-1244-7roblem’s feature space is Boolean, without looking at the inner structure of the classifier. For such a classifier with a small feature space, a Boolean function describing it can be directly calculated, whilst for a classifier with a larger feature space, a sampling method is investigated to produc作者: demote 時(shí)間: 2025-3-26 01:13 作者: Debate 時(shí)間: 2025-3-26 04:25
An Empirical Study on Insertion and Deletion Mutation in Cartesian Genetic Programming problems are performed and the results show an improved search performance when these phenotypic mutations are used. The observed improvement of the search performance indicates that the insertion and deletion mutation techniques are beneficial for the use of CGP. The effectiveness of both mutation作者: 殺蟲劑 時(shí)間: 2025-3-26 12:12 作者: NADIR 時(shí)間: 2025-3-26 14:02 作者: 到婚嫁年齡 時(shí)間: 2025-3-26 19:38
Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-Based Modelseness for high-dimensional samples: on the set of 653 predictors, we obtained 68% accuracy on average, whereas on the reduced set of 100 predictors, we could improve this result only up to 70%. Furthermore, this study introduces the most important predictor variables used in the generated Fuzzy Logi作者: HAVOC 時(shí)間: 2025-3-26 22:57
Neural Models to Quantify the Determinants of Truck Fuel Consumptiononomy ranking before and after compensating for route inclination and payload. We found that supplier depot and driver are the primary factors related to shrinkage, and that a relatively small fraction of depots and drivers cause the majority of shrinkage. Compensating for non-driver factors however作者: visual-cortex 時(shí)間: 2025-3-27 01:06 作者: REIGN 時(shí)間: 2025-3-27 08:46
Rule Extraction from Neural Networks and Other Classifiers Applied to XSS Detectionroblem’s feature space is Boolean, without looking at the inner structure of the classifier. For such a classifier with a small feature space, a Boolean function describing it can be directly calculated, whilst for a classifier with a larger feature space, a sampling method is investigated to produc作者: Parameter 時(shí)間: 2025-3-27 13:22
Conference proceedings 2021Computational Intelligence (IJCCI 2019) – held in Vienna, Austria, from 17 to 19 September 2019. The authors focus on three outstanding fields of Computational Intelligence through the selected panel, namely Evolutionary Computation, Fuzzy Computation and Neural Computation. Besides presenting the r作者: sinoatrial-node 時(shí)間: 2025-3-27 14:38
Tobias Preusser,Robert M. Kirby,Torben P?tz and by comparing the different methods in a larger experimental setup. The results show that feature selection can generate better rules in most of the cases while also being more efficient to in a production environment.作者: 沒收 時(shí)間: 2025-3-27 21:07
Modelling with Stochastic Petri Nets,ity and possibility modal operators along with intuitionistic fuzzy t-norms and t-conorms are investigated by verifying the conditions under which A-CC preserve the main properties related to conjugate and complement operations performed on A-IFS.作者: 拘留 時(shí)間: 2025-3-27 23:20
Stochastic Petri Nets for Wireless Networksc’ approach is used for the estimation of the point of intersection. The inverse task is discussed, specifying the parameters of the output distributions and looking for the parameters of the input distributions. For larger standard deviations (stds) mixed Gaussian models are suggested as approximation of non-Gaussian distributions.作者: Cabg318 時(shí)間: 2025-3-28 02:44 作者: insightful 時(shí)間: 2025-3-28 08:19 作者: Formidable 時(shí)間: 2025-3-28 13:21 作者: Forage飼料 時(shí)間: 2025-3-28 15:58
Niching-Based Feature Selection with Multi-tree Genetic Programming for Dynamic Flexible Job Shop Sc and by comparing the different methods in a larger experimental setup. The results show that feature selection can generate better rules in most of the cases while also being more efficient to in a production environment.作者: 態(tài)度暖昧 時(shí)間: 2025-3-28 21:48
Correlation Analysis Via Intuitionistic Fuzzy Modal and Aggregation Operatorsity and possibility modal operators along with intuitionistic fuzzy t-norms and t-conorms are investigated by verifying the conditions under which A-CC preserve the main properties related to conjugate and complement operations performed on A-IFS.作者: 斷言 時(shí)間: 2025-3-28 23:23 作者: 遺傳 時(shí)間: 2025-3-29 03:48
Towards a Class-Aware Information Granulation for Graph Embedding and Classificationormance improvements when considering also the ground-truth class labels in the information granulation procedure. Furthermore, since the granulation procedure is based on random walks, it is also very appealing in Big Data scenarios.作者: homeostasis 時(shí)間: 2025-3-29 10:27
Deep Convolutional Neural Network Processing of Images for Obstacle Avoidancein the lab by a human operator. The network learned the correct responses of left, right, or straight for each of the images with a very low error rate when checked on test images. In addition, ten tests on the actual robot showed that it could successfully and consistently drive through the lab while avoiding obstacles.作者: companion 時(shí)間: 2025-3-29 14:52 作者: STERN 時(shí)間: 2025-3-29 16:09 作者: 兇猛 時(shí)間: 2025-3-29 20:11 作者: CREST 時(shí)間: 2025-3-30 02:15
https://doi.org/10.1007/978-3-642-69591-9n opens doors for a sampling version of the algorithm, which we call CVaR Q-learning. In order to allow optimizing CVaR on large state spaces, we also formulate loss functions that are later used in a deep learning context. Proposed methods are theoretically analyzed and experimentally verified.作者: contrast-medium 時(shí)間: 2025-3-30 07:37
CVaR Q-Learningn opens doors for a sampling version of the algorithm, which we call CVaR Q-learning. In order to allow optimizing CVaR on large state spaces, we also formulate loss functions that are later used in a deep learning context. Proposed methods are theoretically analyzed and experimentally verified.作者: kyphoplasty 時(shí)間: 2025-3-30 10:00 作者: hazard 時(shí)間: 2025-3-30 13:55
Building Market Timing Strategies Using Trend Representative Testing and Computational Intelligence Testing. We provide more details on the process of building trend representative datasets, as well as, introduce a new PSO variant with a different approach to pruning. Results show that the new pruning procedure is capable of reducing solution length while not adversely affecting the quality of the solutions in a statistically significant manner.作者: Platelet 時(shí)間: 2025-3-30 19:57 作者: conscribe 時(shí)間: 2025-3-30 22:46 作者: absorbed 時(shí)間: 2025-3-31 01:46 作者: 大吃大喝 時(shí)間: 2025-3-31 05:51
https://doi.org/10.1007/978-981-99-0385-6edge about the possibilities and effectiveness of advanced genetic operators, the point mutation is usually the sole genetic operator when CGP is used. To improve the state of knowledge, this work is devoted to the investigation of the effectiveness of two phenotypic mutation techniques. takes anoth作者: 哭得清醒了 時(shí)間: 2025-3-31 12:23 作者: iodides 時(shí)間: 2025-3-31 16:30
Alternative Simulation Methods,rent risk measures are represented as weighted average value-at-risks with the most adapted risk spectrum derived from decision maker’s risk averse utility, and then the risk spectrum inherits the risk averse property of the decision maker’s utility as weighting. Risk-sensitive expected rewards are
