作者: ticlopidine 時(shí)間: 2025-3-21 22:43
Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/232399.jpg作者: employor 時(shí)間: 2025-3-22 02:19
https://doi.org/10.1007/978-3-540-79474-5algorithm; algorithms; architecture; calculus; classification; cluster analysis; complex systems; computati作者: 評(píng)論者 時(shí)間: 2025-3-22 06:37 作者: 溫順 時(shí)間: 2025-3-22 11:55
Thinking About Urban Materialityl concept of this new, innovative computing field. The main constituents of CI, which include artificial neural networks, fuzzy systems, and evolutionary algorithms, are explained. In addition, different hybrid CI models arisen from synergy of neural, fuzzy, and evolutionary computational paradigms 作者: 符合規(guī)定 時(shí)間: 2025-3-22 16:38
Thinking About Urban Materialityn efficient manner) and interpretable (so that the results are easily understood by the user or designer). The logic is the language of interpretable constructs. Neural architectures offer a flexible and convenient setting for learning. The study conveys a message that a suitable combination of logi作者: 符合規(guī)定 時(shí)間: 2025-3-22 20:59
https://doi.org/10.1007/978-981-15-4650-1lled MembershipMap, strives to granulate and extract the underlying sub-concepts of each raw attribute. The orthogonal union of these sub-concepts are then used to define a new membership space. The sub-concept soft labels of each point in the original space determine the position of that point in t作者: PACK 時(shí)間: 2025-3-22 21:54
Thinking About Urban Materialityrn classifier. Since then, many studies have explored different issues concerning FAM optimization, training and evaluation, e.g., model sensitivity to parameters, ordering strategy for the presentation of the training patterns, training method and method of predicting the classification accuracy. O作者: MUMP 時(shí)間: 2025-3-23 05:18
Sensing Place: Living with Melbourne’s Stoneclassification in a multivariate setting, i.e. such that complex, non-scalar predictions must be produced in correspondence to input vectors. Examples of these tasks range from natural language parsing to speech recognition, machine translation, image segmentation, handwritten character recognition 作者: 神秘 時(shí)間: 2025-3-23 07:34 作者: 我們的面粉 時(shí)間: 2025-3-23 10:35 作者: 破布 時(shí)間: 2025-3-23 16:17
https://doi.org/10.1007/978-981-15-4650-1should be similar to each other) with constraints on the number of data per cluster. The proposed techniques can be used for various purposes. If a set of items, jobs or customers has to be distributed among a limited number of resources and the workload for each resource shall be balanced, clusters作者: inspiration 時(shí)間: 2025-3-23 18:14 作者: 尖叫 時(shí)間: 2025-3-24 02:07 作者: 原告 時(shí)間: 2025-3-24 04:29 作者: 明智的人 時(shí)間: 2025-3-24 06:36
https://doi.org/10.1057/9780312299156rtant to encode linked variables tightly for simple GAs, it is sometimes difficult because it requires enough knowledge of problems to be solved. In order to solve real-world problems effectively even if the knowledge is not available, we need to analyze gene linkage..We review algorithms which have作者: 合并 時(shí)間: 2025-3-24 11:57 作者: ENDOW 時(shí)間: 2025-3-24 16:35
Thinking About Urban Materialityl concept of this new, innovative computing field. The main constituents of CI, which include artificial neural networks, fuzzy systems, and evolutionary algorithms, are explained. In addition, different hybrid CI models arisen from synergy of neural, fuzzy, and evolutionary computational paradigms are discussed.作者: dowagers-hump 時(shí)間: 2025-3-24 22:26 作者: Control-Group 時(shí)間: 2025-3-25 02:58 作者: canvass 時(shí)間: 2025-3-25 05:09
A Quest for Adaptable and Interpretable Architectures of Computational Intelligence,n efficient manner) and interpretable (so that the results are easily understood by the user or designer). The logic is the language of interpretable constructs. Neural architectures offer a flexible and convenient setting for learning. The study conveys a message that a suitable combination of logi作者: 言行自由 時(shí)間: 2025-3-25 09:35
MembershipMap: A Data Transformation for Knowledge Discovery Based on Granulation and Fuzzy Memberslled MembershipMap, strives to granulate and extract the underlying sub-concepts of each raw attribute. The orthogonal union of these sub-concepts are then used to define a new membership space. The sub-concept soft labels of each point in the original space determine the position of that point in t作者: BROW 時(shí)間: 2025-3-25 12:50 作者: Hamper 時(shí)間: 2025-3-25 16:06 作者: LASH 時(shí)間: 2025-3-25 21:38
Ensemble MLP Classifier Design,d for the number of free parameters. Most commonly, parameters are set with the help of either a validation set or cross-validation techniques, but there is no guarantee that a pseudo-test set is representative. Further difficulties with MLPs include long training times and local minima. In this cha作者: Canopy 時(shí)間: 2025-3-26 00:19
Functional Principal Points and Functional Cluster Analysis,ts which minimizes the sum of expected squared distances from every points in the distribution to the nearest points of the set, and are mathematically equivalent to centers of gravity by .-means clustering [3]. The concept of principal points can be extended for functional data analysis [16]. We ca作者: 博愛(ài)家 時(shí)間: 2025-3-26 06:27 作者: Verify 時(shí)間: 2025-3-26 09:49
Cluster Validating Techniques in the Presence of Duplicates,rom multiple databases or for some other reasons is an important line of research. Yet no comprehensive comparative study has been performed to evaluate the effectiveness of Silhouette width, Calinski & Harbasz index (pseudo F-statistics) and Baker & Hubert index (. index) algorithms for exact and a作者: 深淵 時(shí)間: 2025-3-26 14:12 作者: 臨時(shí)抱佛腳 時(shí)間: 2025-3-26 18:07
Support Vector Machines and Features for Environment Perception in Mobile Robotics,ful information to navigate safely. In this sense, classification techniques applied to sensor data may enhance the way mobile robots sense their surroundings. Amongst several techniques to classify data and to extract relevant information from the environment, Support Vector Machines (SVM) have dem作者: savage 時(shí)間: 2025-3-26 23:36
Linkage Analysis in Genetic Algorithms,rtant to encode linked variables tightly for simple GAs, it is sometimes difficult because it requires enough knowledge of problems to be solved. In order to solve real-world problems effectively even if the knowledge is not available, we need to analyze gene linkage..We review algorithms which have作者: 匍匐前進(jìn) 時(shí)間: 2025-3-27 01:10
MembershipMap: A Data Transformation for Knowledge Discovery Based on Granulation and Fuzzy Membersy. We also show that in addition to improving the performance of clustering by taking advantage of the richer information content, the MembershipMap can be used as a flexible pre-processing tool to support such tasks as: sampling, data cleaning, and outlier detection.作者: 啞劇 時(shí)間: 2025-3-27 08:06
Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classificationcision theory, evolutionary learning, and cluster analysis. Due to its appealing characteristics, FAM and its variants have been applied extensively and successfully to real-world classification problems. Numerous applications were reported in, for example, the processing of signals from different s作者: 高興一回 時(shí)間: 2025-3-27 11:30 作者: inhumane 時(shí)間: 2025-3-27 15:36 作者: Armada 時(shí)間: 2025-3-27 21:25
Book 2008e believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another..作者: CHANT 時(shí)間: 2025-3-28 00:06 作者: Inertia 時(shí)間: 2025-3-28 05:44 作者: 炸壞 時(shí)間: 2025-3-28 09:00 作者: grandiose 時(shí)間: 2025-3-28 10:43 作者: 擴(kuò)張 時(shí)間: 2025-3-28 14:54
1860-949X ill simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another..978-3-642-09839-0978-3-540-79474-5Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Migratory 時(shí)間: 2025-3-28 20:44
https://doi.org/10.1007/978-981-15-4650-1 of approximately the same size would be needed. If the resources have different capacities, then clusters of the corresponding sizes need to be found. We also extend our approach to avoid extremely small or large clusters in standard cluster analysis. Another extension offers a measure for comparing different prototype-based clustring results.作者: Progesterone 時(shí)間: 2025-3-29 01:50
Cladding with Stone: Introduction,onstrated promising results, being used in several practical approaches. This chapter presents the core theory of SVM, and applications in two different scopes: using Lidar (Light Detection and Ranging) to label specific places, and vision-based human detection aided by Lidar.作者: Entrancing 時(shí)間: 2025-3-29 06:59
1860-949X has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust....The book includ作者: 煩擾 時(shí)間: 2025-3-29 09:41 作者: 上腭 時(shí)間: 2025-3-29 13:55
Ensemble MLP Classifier Design,ere is no guarantee that a pseudo-test set is representative. Further difficulties with MLPs include long training times and local minima. In this chapter, an ensemble of MLP classifiers is proposed to solve these problems. Parameter selection for optimal performance is performed using measures that correlate well with generalisation error.作者: Bricklayer 時(shí)間: 2025-3-29 17:10
