標題: Titlebook: Computational Intelligence: Theories, Applications and Future Directions - Volume II; ICCI-2017 Nishchal K. Verma,A. K. Ghosh Conference pr [打印本頁] 作者: Coenzyme 時間: 2025-3-21 18:10
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II影響因子(影響力)
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II影響因子(影響力)學科排名
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書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II網(wǎng)絡公開度學科排名
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II被引頻次
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II被引頻次學科排名
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II年度引用
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II年度引用學科排名
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II讀者反饋
書目名稱Computational Intelligence: Theories, Applications and Future Directions - Volume II讀者反饋學科排名
作者: CLASH 時間: 2025-3-21 20:40 作者: 會議 時間: 2025-3-22 04:03 作者: 古代 時間: 2025-3-22 05:33
Abby Ghobadian,Nicholas O’Regan,Howard Vineylogies represent the documents using the vector space model (VSM) traditionally known as bag-of-words (BoW) hypothesis. The main disadvantage of BoW is that the grammatical and the structural information of words is not captured. In this paper, we have attempted to cluster named entities (NEs) extra作者: 幻影 時間: 2025-3-22 09:08
https://doi.org/10.1057/9781137382054 detection, and many other tasks. The data generated in all these areas are very large, and there are a large number of samples along with a large number of attributes. Areas like bioinformatics have a large amount of data, but face the problem of a small number of samples with a large number of att作者: 植物群 時間: 2025-3-22 16:40 作者: 植物群 時間: 2025-3-22 20:52 作者: 使痛苦 時間: 2025-3-23 00:24 作者: 攤位 時間: 2025-3-23 05:20
Normal Morse Data of Two Morse Functionscial network can share their content. They also facilitate their users by recommending new friends on the basis of local or global network features. Local feature-based approaches do not exploit the whole network structure. In contrary to the techniques based on local features, global feature-based 作者: 染色體 時間: 2025-3-23 09:03 作者: Capture 時間: 2025-3-23 13:30 作者: neutrophils 時間: 2025-3-23 15:49
Eigene Ergebnisse und Erfahrungen,e learning method and fuzzy logic is used for the work. Using ART classifier, the dataset is trained and monograms in the dataset are divided into eight classes and assigned a score. When the system accepts the input text, monograms in the text are used to find the domain of the text. After identify作者: 公司 時間: 2025-3-23 19:11 作者: 背叛者 時間: 2025-3-23 23:17
https://doi.org/10.1007/978-3-319-97785-0cial neural network. Ridgelet transformation method was applied to face images around the points of interest area. Principal component analysis technique was used for preprocessing phase in feature extraction from emotion-contained images. The proposed model has two important phases that are finely 作者: PANIC 時間: 2025-3-24 02:54 作者: 行乞 時間: 2025-3-24 09:36
Ran Wei,Antonio Robles-Kelly,José álvarez of weights associated with the input of every perceptron are normalized to a probability distribution, and the entropy of weights is computed for the whole network using chain rule. The synaptic weights being initially random start converging to definite values in epoch training. The stopping crite作者: 外露 時間: 2025-3-24 11:19
Computational Intelligence: Theories, Applications and Future Directions - Volume II978-981-13-1135-2Series ISSN 2194-5357 Series E-ISSN 2194-5365 作者: 行為 時間: 2025-3-24 18:51
https://doi.org/10.1007/978-981-13-1135-2Big Data and Knowledge Discovery; Data Mining and Visualization; Computer Vision; Image Processing and 作者: 陰謀小團體 時間: 2025-3-24 19:24
978-981-13-1134-5Springer Nature Singapore Pte Ltd. 2019作者: terazosin 時間: 2025-3-25 01:34 作者: maladorit 時間: 2025-3-25 05:11
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/c/image/232564.jpg作者: Accord 時間: 2025-3-25 10:02 作者: Fibrinogen 時間: 2025-3-25 14:57
Dramatis Personae and the Main Theoremnetwork continuously shape our views about different things. This trust-based relationship can be harnessed to recommend items to users. In this paper, we aim to tackle the problem of scalability in online recommender systems using an online graph partitioning algorithm.作者: Commemorate 時間: 2025-3-25 19:07 作者: CBC471 時間: 2025-3-25 21:17 作者: Radiculopathy 時間: 2025-3-26 00:14
https://doi.org/10.1007/978-3-642-71714-7imultaneously selecting the appropriate feature subset. Fitness function for these computations is fuzzy rough dependency measure. Using the proposed initialization, while using PSO and IDS, improvement in size of selected subset of features with improved classification accuracy is also demonstrated.作者: blister 時間: 2025-3-26 05:45 作者: 尊嚴 時間: 2025-3-26 11:12 作者: colostrum 時間: 2025-3-26 13:20
Path Planning for Multiple Mobile Robots by Priority Assignment for the same search space. This paper gives the idea about how to assign the priority and choose the best minimum path length. The simulation results show the output performed and success rate of the robots.作者: 梯田 時間: 2025-3-26 17:38 作者: AMITY 時間: 2025-3-26 22:40
Fog Computing-Based Autonomic Security Approach to Internet of Things Applicationsattack forecasting module based on Gaussian process regression model, (2) attack detection module using cognitive approach and correlation analysis, (3) fuzzy-based incident response module to handle the attacks. The experimental results prove the effectiveness of the proposed approach in terms of detection accuracy and detection time.作者: inflame 時間: 2025-3-27 05:01
https://doi.org/10.1057/9781137382054convolutional neural network layer. The result of the proposed approach is compared with random initialization of the kernel weights. The results show that the proposed method performs comparably to random initialization.作者: Compass 時間: 2025-3-27 06:02 作者: 食料 時間: 2025-3-27 09:54
Deviations of the Developmental Process, side. Experiments to illustrate the salient features of the HyEGD approach are performed on two benchmark problems: COIL-20 dataset and MNIST dataset. The results clearly highlight the powerful capability of generating architectures based on the required performance and size of network.作者: 革新 時間: 2025-3-27 16:20 作者: 吃掉 時間: 2025-3-27 21:12 作者: 分期付款 時間: 2025-3-27 22:15
https://doi.org/10.1007/978-3-319-97785-0agation artificial neural network classifier which includes two parameters such as anxiety and confidence, for selecting a subset of typical conclusive visual topographies from the set of latent structures. The combination of these two procedures enabled rapid learning and thereby computational swiftness reasoning the auspicious facial emotions.作者: MINT 時間: 2025-3-28 03:06 作者: ABHOR 時間: 2025-3-28 07:39 作者: 變化 時間: 2025-3-28 11:17
Simultaneous Structure and Parameter Learning of Convolutional Neural Network side. Experiments to illustrate the salient features of the HyEGD approach are performed on two benchmark problems: COIL-20 dataset and MNIST dataset. The results clearly highlight the powerful capability of generating architectures based on the required performance and size of network.作者: painkillers 時間: 2025-3-28 18:22
Hybrid Approach for Predicting and Recommending Links in Social Networksgth three pathways between each pair of vertices of the network. We performed experimental evaluation by comparing the proposed approach with other friend recommendation techniques. The experimental results indicate that our algorithm provides adequate level of efficiency as well as accuracy in friend recommendations.作者: 污穢 時間: 2025-3-28 19:16
Domain-Independent Sentiment Analysis in Malayalam, the polarity of the input is calculated. Since there is no standardized dataset in Malayalam for sentiment analysis, the training data is collected from the Malayalam online newspaper. In short, system identifies the domain of the input text and then finds the sentiment and its polarity.作者: MILL 時間: 2025-3-29 01:43 作者: 危險 時間: 2025-3-29 04:08
Conference proceedings 2019nce (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and methods. This volume covers the current state of the field and explores new, open research directions. The book serves as a guide for readers working to develop and validate real-ti作者: 爭論 時間: 2025-3-29 09:54 作者: 形容詞 時間: 2025-3-29 12:38 作者: 悄悄移動 時間: 2025-3-29 15:42 作者: charisma 時間: 2025-3-29 20:38 作者: 角斗士 時間: 2025-3-30 01:42 作者: Original 時間: 2025-3-30 07:01
Self-adaptive Frequent Pattern Growth-Based Dynamic Fuzzy Particle Swarm Optimization for Web Documeem requires the capability of capturing dynamicity. Dynamicity takes into account any updates happening in the search space. If any new potential solution arises, the system needs to identify and reinitialize the particle lists to the newly updated potential solutions. The traditional particle swarm作者: Rotator-Cuff 時間: 2025-3-30 10:43 作者: 善于 時間: 2025-3-30 12:31
TelNEClus: Telugu Named Entity Clustering Using Semantic Similaritylogies represent the documents using the vector space model (VSM) traditionally known as bag-of-words (BoW) hypothesis. The main disadvantage of BoW is that the grammatical and the structural information of words is not captured. In this paper, we have attempted to cluster named entities (NEs) extra作者: 眨眼 時間: 2025-3-30 18:56
Convolutional Neural Network with Stacked Autoencoder for Kernel Initialization detection, and many other tasks. The data generated in all these areas are very large, and there are a large number of samples along with a large number of attributes. Areas like bioinformatics have a large amount of data, but face the problem of a small number of samples with a large number of att作者: conflate 時間: 2025-3-31 00:31 作者: 陰郁 時間: 2025-3-31 02:18
Improved EMD Local Energy with SVM for Fault Diagnosis in Air Compressor role in the fault diagnosis. This paper proposes local energy based feature extraction technique derived from improved empirical mode decomposition. Relevancy of feature is examined by correlation method. Support vector machine is used for classification of features. The proposed approach is compar作者: 精致 時間: 2025-3-31 06:00
Simultaneous Structure and Parameter Learning of Convolutional Neural Network approach is proposed to automatically evolve the architecture of CNN. The evolution of the structure is done using compact genetic algorithm (cGA) by optimizing the number of filters in each layer, and simultaneously, the associated weight parameters are tuned by stochastic gradient descent (SGD). 作者: fulcrum 時間: 2025-3-31 12:52
