標題: Titlebook: Artificial Neural Nets and Genetic Algorithms; Proceedings of the I George D. Smith,Nigel C. Steele,Rudolf F. Albrecht Conference proceedin [打印本頁] 作者: 類屬 時間: 2025-3-21 18:42
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)學科排名
書目名稱Artificial Neural Nets and Genetic Algorithms網(wǎng)絡公開度
書目名稱Artificial Neural Nets and Genetic Algorithms網(wǎng)絡公開度學科排名
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讀者反饋學科排名
作者: tangle 時間: 2025-3-21 22:14 作者: CAPE 時間: 2025-3-22 02:35
Conference proceedings 1998 commercial and financial problems. This is well illustrated in this volume by the numerous applications of both paradigms to new and challenging problems. The third key theme of the series, therefore, is the integration of both technologies, either through the use of the genetic algorithm to constr作者: fertilizer 時間: 2025-3-22 06:02
Timing without Time — An Experiment in Evolutionary Roboticsmple in the form of recurrent connections or time input. The evolved neural network controllers are sufficient for exploration and homing behaviour with a very exact timing, even though the robot (controller) has no knowledge about time itself.作者: employor 時間: 2025-3-22 09:45 作者: intricacy 時間: 2025-3-22 13:23 作者: Collar 時間: 2025-3-22 19:24 作者: limber 時間: 2025-3-23 00:44 作者: 不愛防注射 時間: 2025-3-23 04:08 作者: GIST 時間: 2025-3-23 06:15
Lara Stevens,Peta Tait,Denise VarneyAs of any size may be obtained from a particular evolved system. Our motivation for this study stems in part from our desire to attain realistic systems that axe more amenable to implementation as “evolving ware,” ..作者: Assignment 時間: 2025-3-23 11:59 作者: 極肥胖 時間: 2025-3-23 16:35
Feminist Critical Discourse Analysisns to enable the co-ordination of reinforcement learning across both modules successive time steps. The experiments reported explore the possibility that architectures based on this approach can support concurrent acquisition of different reactive navigation related competences while the robot pursues light-seeking goals.作者: perjury 時間: 2025-3-23 21:18 作者: 無節(jié)奏 時間: 2025-3-24 00:32 作者: COWER 時間: 2025-3-24 03:13
Agnes M. Brazal,Kochurani Abraham The generated plans minimize the total motion time of the robots along their paths. The optimization problem is solved by evolutionary algorithms using a variable-length individuals codification and specific genetic operators.作者: 做作 時間: 2025-3-24 10:31 作者: Tremor 時間: 2025-3-24 13:41
https://doi.org/10.1007/978-1-349-27505-2atistical solutions. Performances can be largely improved if we introduce prior knowledge in network architectures. If the real problem has an obvious decomposition, then it may be possible to design a network architecture by hand. Unfortunately, this is not always possible.作者: ligature 時間: 2025-3-24 15:17 作者: Efflorescent 時間: 2025-3-24 21:38 作者: capsule 時間: 2025-3-25 00:36
https://doi.org/10.1007/978-1-4020-6835-5mentation on a microcontroller is developed by using stochastic transition matrices. The results presented show the success of the technique in maintaining interest in objects previously located within the environment, locating new objects in an environment and making a compromise between the two.作者: anus928 時間: 2025-3-25 04:50
A Modular Reinforcement Learning Architecture for Mobile Robot Controlns to enable the co-ordination of reinforcement learning across both modules successive time steps. The experiments reported explore the possibility that architectures based on this approach can support concurrent acquisition of different reactive navigation related competences while the robot pursues light-seeking goals.作者: Metastasis 時間: 2025-3-25 08:33 作者: opalescence 時間: 2025-3-25 13:18 作者: 分解 時間: 2025-3-25 17:53 作者: 吞下 時間: 2025-3-25 20:05
A Modular Neural Network Architecture with Additional Generalization Abilities for Large Input Vecton. The modular network is designed to combine two different approaches of generalization known from connectionist and logical neural networks; this enhances the generalization abilities of the network. The architecture introduced here is especially useful in solving problems with a large number of input attributes.作者: 休戰(zhàn) 時間: 2025-3-26 02:11
Bernoulli Mixture Model of Experts for Supervised Pattern Classificationatistical solutions. Performances can be largely improved if we introduce prior knowledge in network architectures. If the real problem has an obvious decomposition, then it may be possible to design a network architecture by hand. Unfortunately, this is not always possible.作者: 永久 時間: 2025-3-26 05:34 作者: Endometrium 時間: 2025-3-26 11:04 作者: accrete 時間: 2025-3-26 15:01
Fuzzy-tuned Stochastic Scanpaths for AGV Visionmentation on a microcontroller is developed by using stochastic transition matrices. The results presented show the success of the technique in maintaining interest in objects previously located within the environment, locating new objects in an environment and making a compromise between the two.作者: forestry 時間: 2025-3-26 19:55 作者: 背信 時間: 2025-3-26 23:32 作者: 農(nóng)學 時間: 2025-3-27 02:14 作者: 欺騙手段 時間: 2025-3-27 09:08
Ensembles of Neural Networks for Digital Problemsor branches of networks. The networks can be of any type such as backpropagation, cascade etc. However, virtually any other technique can be used in place of the networks: GA, EA, DRS, tabu search, nearest neighbour, and so on. Methods are discussed to improve the generalisation.作者: arrogant 時間: 2025-3-27 12:08 作者: indices 時間: 2025-3-27 13:57
Transit Time Estimation by Artificial Neural Networksexpected range. On the other hand, the interactive nature of the IAC ANN allows it to be robust to significant levels of noise and of the global component. A BP ANN has been appended to the IAC ANN, further allowing for the accurate estimation of decimated transit times.作者: justify 時間: 2025-3-27 18:47 作者: 其他 時間: 2025-3-27 22:06
https://doi.org/10.1007/978-3-7091-6492-1algorithms; artificial neural network; cognition; genetic algorithms; genetic programming; heuristics; ima作者: 雪崩 時間: 2025-3-28 05:00
978-3-211-83087-1Springer-Verlag Wien 1998作者: Congruous 時間: 2025-3-28 09:27 作者: phytochemicals 時間: 2025-3-28 11:31
Feminist Critical Discourse Analysisgating network approach in the context of reactive navigation tasks for a simulated mobile robot. The gating network has partially recurrent connections to enable the co-ordination of reinforcement learning across both modules successive time steps. The experiments reported explore the possibility t作者: 高度贊揚 時間: 2025-3-28 17:38
Luisa Martin Rojo,Concepción Gómez Esteban... Evolutionary robotics is advantageous because it gives a semi-automatic procedure to the development of a task-fulfilling control system for real robots. It is disadvantageous to some extent because of its great time consumption. Here, I will show how the time consumption can be reduced dramatic作者: Proponent 時間: 2025-3-28 19:27 作者: 挫敗 時間: 2025-3-29 00:42
https://doi.org/10.1057/9781137395863of solving path planning problems is that the neural network (once trained) can be used for the same robot, with a variety of start and target positions. The genetic algorithm learns, and encodes implicitly, the calibration parameters of both the robot and the overhead camera, as well as the inverse作者: Intact 時間: 2025-3-29 04:28
Agnes M. Brazal,Kochurani Abraham used; that is, the problem has been decomposed into two subproblems: path planning and trajectory planning. This paper focuses on the second problem. The generated plans minimize the total motion time of the robots along their paths. The optimization problem is solved by evolutionary algorithms usi作者: reserve 時間: 2025-3-29 07:20
Content and Context in Theological Ethicso-one training set for digital classification problems. Each network learns a different region of the training space and all these regions fit together, like pieces of a jigsaw puzzle, to cover the entire training space. The individual networks are ‘grown’ as they are needed to form either cascades 作者: 胖人手藝好 時間: 2025-3-29 12:17
Agnes M. Brazal,Kochurani Abrahamropagation algorithm. Due to the proposed modular architecture the number of weight connections is less than in a fully connected multilayer perceptron. The modular network is designed to combine two different approaches of generalization known from connectionist and logical neural networks; this en作者: interior 時間: 2025-3-29 16:00 作者: HEW 時間: 2025-3-29 19:46 作者: Ceremony 時間: 2025-3-30 01:34 作者: LAP 時間: 2025-3-30 04:21 作者: MAPLE 時間: 2025-3-30 09:23 作者: Brain-Waves 時間: 2025-3-30 16:15 作者: RAFF 時間: 2025-3-30 16:32
https://doi.org/10.1007/978-3-319-64385-4e more advanced problems within low-level vision or image preprocessing. We present the main ideas and give a brief sketch of their implementation in the distributed simulation environment GENCODER. This system forms the basis for some introductory experiments obtained. Finally, some aspects of the 作者: 爵士樂 時間: 2025-3-30 21:30
https://doi.org/10.1007/978-1-4020-6835-5 fields. Each receptive field exploits a set of local connections, with weights which axe symmetrical around the center of the receptive field. The nonlinear behaviour is the result of three properties of the network. First, the activation is accumulated in the output layer units. Second, the recurr作者: 具體 時間: 2025-3-31 03:58 作者: Consensus 時間: 2025-3-31 05:57 作者: Palpate 時間: 2025-3-31 09:39 作者: 古董 時間: 2025-3-31 15:19
