標(biāo)題: Titlebook: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization; Patricia Melin,Oscar Castillo,Janusz [打印本頁] 作者: DUBIT 時間: 2025-3-21 19:20
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization影響因子(影響力)
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization影響因子(影響力)學(xué)科排名
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization網(wǎng)絡(luò)公開度
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization被引頻次
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization被引頻次學(xué)科排名
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization年度引用
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization年度引用學(xué)科排名
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization讀者反饋
書目名稱Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization讀者反饋學(xué)科排名
作者: hermetic 時間: 2025-3-21 21:50
978-3-319-36961-7Springer International Publishing Switzerland 2015作者: Pedagogy 時間: 2025-3-22 03:25
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization978-3-319-17747-2Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 同義聯(lián)想法 時間: 2025-3-22 08:01
Joseph V. Brady,Mary A. Andersonn be considered as a granule of information it continues to be a numeric value, in order to give a similar representation structure data. Granular theory and clustering algorithms can be combined to achieve this goal, resulting in granular prototypes and granular matrices of belonging and a more reflective data structure.作者: 冷淡周邊 時間: 2025-3-22 10:27
Small Groups and Confined Microsocieties and Type-2 fuzzy systems for edge detections based on the Sobel, which is a pre-processing applied to the training data for better performance in the modular neural network. The Choquet integral is an aggregation operator that in this case is used as a method to integrate the outputs of the modules of the modular neural networks (MNN).作者: 毀壞 時間: 2025-3-22 16:47 作者: 毀壞 時間: 2025-3-22 19:31
From Assessing to Conserving Biodiversitye chaotic time series is depicted by the register of seismic events and their seismic coordinates in a catalog. ANFIS model are used as components of the Ensemble to train and evaluate seven chaotic time series that are used by the M8 algorithm to make a prediction.作者: GEM 時間: 2025-3-23 00:28
Patricia Melin,Oscar Castillo,Janusz KacprzykPresents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application.Includes applications in areas such as intell作者: 推延 時間: 2025-3-23 02:09 作者: debris 時間: 2025-3-23 09:14
A New Proposal for a Granular Fuzzy C-Means Algorithmn be considered as a granule of information it continues to be a numeric value, in order to give a similar representation structure data. Granular theory and clustering algorithms can be combined to achieve this goal, resulting in granular prototypes and granular matrices of belonging and a more reflective data structure.作者: 神化怪物 時間: 2025-3-23 12:49 作者: 護(hù)身符 時間: 2025-3-23 17:07
Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysisnspired system used to detect dynamic objects in video sequences. Among its novelty is that besides binarization it is able to reduce also noise, and its parameters are self-adapted. Qualitative findings are used to show the advantage of using the cellular network.作者: 解開 時間: 2025-3-23 20:16
A Type-2 Fuzzy Neural Network Ensemble to Predict Chaotic Time Seriese chaotic time series is depicted by the register of seismic events and their seismic coordinates in a catalog. ANFIS model are used as components of the Ensemble to train and evaluate seven chaotic time series that are used by the M8 algorithm to make a prediction.作者: brachial-plexus 時間: 2025-3-24 01:33 作者: armistice 時間: 2025-3-24 05:00 作者: 使害羞 時間: 2025-3-24 10:16 作者: nocturnal 時間: 2025-3-24 11:48
Joseph V. Brady,Mary A. Andersonn be considered as a granule of information it continues to be a numeric value, in order to give a similar representation structure data. Granular theory and clustering algorithms can be combined to achieve this goal, resulting in granular prototypes and granular matrices of belonging and a more ref作者: FLINT 時間: 2025-3-24 15:00
Small Groups and Confined Microsocieties and Type-2 fuzzy systems for edge detections based on the Sobel, which is a pre-processing applied to the training data for better performance in the modular neural network. The Choquet integral is an aggregation operator that in this case is used as a method to integrate the outputs of the modules作者: Wordlist 時間: 2025-3-24 23:01
https://doi.org/10.1057/9781137445773of a neural network. We use two type-1 or type-2 fuzzy systems that work in the backpropagation learning method with the type-1 or type-2 fuzzy weight adjustment. The mathematical analysis of the proposed learning method architecture and the adaptation of type-1 or type-2 fuzzy weights are presented作者: 大酒杯 時間: 2025-3-24 23:18 作者: 附錄 時間: 2025-3-25 06:07
https://doi.org/10.1007/978-3-030-44286-6nspired system used to detect dynamic objects in video sequences. Among its novelty is that besides binarization it is able to reduce also noise, and its parameters are self-adapted. Qualitative findings are used to show the advantage of using the cellular network.作者: RACE 時間: 2025-3-25 07:49 作者: BIBLE 時間: 2025-3-25 14:07 作者: 可商量 時間: 2025-3-25 19:25 作者: PHAG 時間: 2025-3-25 23:26
https://doi.org/10.1007/978-3-030-44286-6 new algorithm is presented called the Improved Particle Swarm Optimization using the gradient descent method (BP algorithm) as operator of particle swarm incorporated into the Algorithm, as a function to test the improvement. The Gradient Descent Method (BP Algorithm) helps not only to increase the作者: 盟軍 時間: 2025-3-26 03:34 作者: instructive 時間: 2025-3-26 05:19
From Assessing to Conserving Biodiversitye chaotic time series is depicted by the register of seismic events and their seismic coordinates in a catalog. ANFIS model are used as components of the Ensemble to train and evaluate seven chaotic time series that are used by the M8 algorithm to make a prediction.作者: Contracture 時間: 2025-3-26 10:49
https://doi.org/10.1007/978-3-030-44286-6shed but the number of points in each module for the training phase is randomly established. Different trainings are performed using different modular neural architectures (number of hidden layers and neurons) and a type-1 fuzzy integrator is used to perform a final comparison.作者: lethargy 時間: 2025-3-26 12:46 作者: LIMN 時間: 2025-3-26 20:46
1860-949X ir application.Includes applications in areas such as intell.This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as,?intelligent control and robotics, pattern recognition, t作者: 誘騙 時間: 2025-3-26 22:03
https://doi.org/10.1007/978-3-030-44286-6g rate or number of epochs are static values and are not optimized. Here, the MIT-BIH arrhythmia database with 15 classes was used. Results show that using 5 modules architecture could be a good approach for classification of arrhythmias.作者: Infinitesimal 時間: 2025-3-27 03:28 作者: GRUEL 時間: 2025-3-27 06:24
https://doi.org/10.1007/978-3-030-10991-2 Mackey Glass benchmark time series. Simulation results are presented for the optimization of the structure of the ensemble neural network with type-1 and type-2 fuzzy response integration and its optimization with genetic algorithms. The Simulation results show that the ensemble approach produces good prediction of the Mackey Glass time series.作者: 橢圓 時間: 2025-3-27 10:47
Thomas Buehrmann,Ezequiel Di Paolod Bell and Triangular membership functions for each of the fuzzy integrators; in the interval type-2 fuzzy integrator there are more parameters, thereby increasing the complexity of the training for the fuzzy integrators. Simulation results show the effectiveness of the proposed approach in comparison with other researchers.作者: 不近人情 時間: 2025-3-27 14:25 作者: 薄荷醇 時間: 2025-3-27 20:47
Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systemse detector than a grayscale edge detector. The proposed method is applied over a database of color images that include synthetic and real images. The performance of the proposed method is compared with other edge detection algorithms such as Sobel combined with type-1 fuzzy systems T1FSs and the traditional Sobel operator.作者: 陳腐的人 時間: 2025-3-28 01:11
Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Setsn are modified according to the found index values, obtaining all antecedents in the process. Afterwards, the Cuckoo Search algorithm is used to optimize the Interval Sugeno consequents of the Fuzzy Inference System. Some sample datasets are used to measure the output interval coverage.作者: APRON 時間: 2025-3-28 06:02
Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Seri. The proposed method is based on recent methods that handle weight adaptation and especially fuzzy weights. In this work neural networks with type-1 fuzzy weights or type-2 fuzzy weights are presented. The proposed approach is applied to the case of Dow-Jones time series prediction for evaluating its efficiency.作者: 子女 時間: 2025-3-28 06:47 作者: Gingivitis 時間: 2025-3-28 12:37 作者: Integrate 時間: 2025-3-28 18:12 作者: 無效 時間: 2025-3-28 22:50
Evolution of Kernels for Support Vector Machine Classification on Large Datasetsther hand, a new method for improving the training time of support vector machines was recently developed. In this chapter, the new method is integrated in a kernel evolution scheme. Ten benchmark datasets are tested. Results indicate that the new method speeds up the evolution process when datasets are greater than 1000 instances.作者: addict 時間: 2025-3-28 23:11
Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm f Mackey Glass benchmark time series. Simulation results are presented for the optimization of the structure of the ensemble neural network with type-1 and type-2 fuzzy response integration and its optimization with genetic algorithms. The Simulation results show that the ensemble approach produces good prediction of the Mackey Glass time series.作者: 大方一點 時間: 2025-3-29 03:54 作者: CBC471 時間: 2025-3-29 08:59
Lecture Notes in Computer Sciencen are modified according to the found index values, obtaining all antecedents in the process. Afterwards, the Cuckoo Search algorithm is used to optimize the Interval Sugeno consequents of the Fuzzy Inference System. Some sample datasets are used to measure the output interval coverage.作者: Obituary 時間: 2025-3-29 15:26 作者: Reservation 時間: 2025-3-29 15:33
https://doi.org/10.1007/978-3-030-44286-6ammar are tested with two well-known benchmark datasets of pattern recognition. Finally, neural networks derived from the proposed grammar are compared with other generated by similar grammars which were designed for the same purposed, the neural network design.作者: 紅腫 時間: 2025-3-29 21:00
https://doi.org/10.1007/978-3-030-44286-6 global optimization ability, but also avoid the premature convergence problem. The Improved PSO Algorithm IPSO is applied to Neural Network to optimize the architecture. The results show that there is an improvement with respect to using the conventional PSO Algorithm.作者: maladorit 時間: 2025-3-30 02:22 作者: obstruct 時間: 2025-3-30 04:57
1860-949X ithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing978-3-319-36961-7978-3-319-17747-2Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 減少 時間: 2025-3-30 12:10
Book 2015gnition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing作者: 詞匯表 時間: 2025-3-30 12:56 作者: 表被動 時間: 2025-3-30 18:00
