標(biāo)題: Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna [打印本頁] 作者: miserly 時間: 2025-3-21 19:34
書目名稱Neural Information Processing影響因子(影響力)
書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Information Processing被引頻次
書目名稱Neural Information Processing被引頻次學(xué)科排名
書目名稱Neural Information Processing年度引用
書目名稱Neural Information Processing年度引用學(xué)科排名
書目名稱Neural Information Processing讀者反饋
書目名稱Neural Information Processing讀者反饋學(xué)科排名
作者: 靦腆 時間: 2025-3-21 23:10
H-PSO-LSTM: Hybrid LSTM Trained by PSO for Online Handwriter Identificationperiments were carried out on a Biometrics Ideal Test (BIT) bilingual database (Chinese and English). The BIT deals with a large number of writers (between 130 and 188). With H-PSO-LSTM, we were able to improve the learning performance accuracy to 91.9% instead of 81.2%.作者: 商業(yè)上 時間: 2025-3-22 03:17 作者: 偏狂癥 時間: 2025-3-22 08:09 作者: incision 時間: 2025-3-22 11:02 作者: 不理會 時間: 2025-3-22 13:09 作者: GROVE 時間: 2025-3-22 17:14 作者: Biguanides 時間: 2025-3-22 22:17 作者: Interim 時間: 2025-3-23 03:36 作者: COUCH 時間: 2025-3-23 09:09 作者: Occlusion 時間: 2025-3-23 11:36 作者: left-ventricle 時間: 2025-3-23 17:28 作者: Merited 時間: 2025-3-23 18:48 作者: stress-response 時間: 2025-3-23 22:45 作者: Trabeculoplasty 時間: 2025-3-24 04:28 作者: 癡呆 時間: 2025-3-24 08:26
Bayesian Curve Fitting Based on RBF Neural Networksmental materials). Due to the linear correction, the proposed method significantly improves accuracy of fitting and outperforms the conventional numerical-based algorithms. Through the theoretical results, the numerical examples and the application of fitting stopping powers data, we demonstrate the suitability of the proposed method.作者: violate 時間: 2025-3-24 11:02 作者: SKIFF 時間: 2025-3-24 15:11 作者: 大笑 時間: 2025-3-24 22:58
tematic review studies that have examined the software development process within the context of SSCs are limited. Objective: Therefore, the objective of this paper is to rigorously assess the current state of practice of the software development process of SSCs using ISO/IEC 12207 standard as an an作者: Graduated 時間: 2025-3-25 02:06
ese domains can bring challenges concerned with safety and security. International standards are published, providing information on practices which must be implemented in order to satisfy the regulations. This paper details an investigation of the relevant standards that companies need to implement作者: N防腐劑 時間: 2025-3-25 03:32
Xu Li,Zhengyan Liu,Fuxiao Tantematic review studies that have examined the software development process within the context of SSCs are limited. Objective: Therefore, the objective of this paper is to rigorously assess the current state of practice of the software development process of SSCs using ISO/IEC 12207 standard as an an作者: peak-flow 時間: 2025-3-25 09:39
Hui Wang,Zhihua Cui,Wenjun Wang,Xinyu Zhou,Jia Zhao,Li Lv,Hui Sun Recent studies have shown that organizations with established PFPRM are able to generate millions of dollars in additional savings and have a distinct competitive advantage. Our literature review showed that there is also a lack of a guideline for process capability determination and improvement of作者: POWER 時間: 2025-3-25 12:13
Zhicheng Lu,Yuk Ying Chung,Henry Wing Fung Yeung,Seid Miad Zandavi,Weiming Zhi,Wei-Chang Yehuse of the complexity of these devices, in particular the advanced communication ability of these devices, security is becoming an increasing concern. This paper presents work to develop a framework to assure the security of medical devices being incorporated into an IT network. It begins by looking作者: 爭吵 時間: 2025-3-25 17:36
Sabri Arik,Laszlo-Barna Iantovics,Sandor-Miklos Szilagyiessments are expensive and so we have developed a Decision Support System (DSS) tool which uses the international standard for process assessment ISO/IEC 15504 to offer a transparent and efficient approach. This paper provides evidence of evaluation of this software-mediated process assessment (SMPA作者: 偽善 時間: 2025-3-25 20:42 作者: 鎮(zhèn)痛劑 時間: 2025-3-26 02:53 作者: coagulate 時間: 2025-3-26 05:16 作者: 音樂等 時間: 2025-3-26 10:32 作者: 通情達(dá)理 時間: 2025-3-26 16:33 作者: olfction 時間: 2025-3-26 18:02
Xiaodong Wang,Jing Liuystems support management, production, and service functions in diverse organisations. Furthermore, the products and services now offered by the non-IT sectors, e.g., the automotive industry or the consumer electronics industry, increasingly contain a component of sophisticated software. For example作者: Abjure 時間: 2025-3-26 22:01 作者: Curmudgeon 時間: 2025-3-27 01:24 作者: Commonwealth 時間: 2025-3-27 08:45 作者: Meager 時間: 2025-3-27 11:57 作者: Affectation 時間: 2025-3-27 15:13
Sam Fletcher,Brijesh Vermas field. This book focuses on new aspects of software process modeling. Specifically, it deals with socio-technological aspects, process modeling for new development types (open source software, dependability applications, etc.) and organization change management...The computer audience is placing g作者: overhaul 時間: 2025-3-27 20:32
Qin Liu,Zhaoyang Sang,Hua Chen,Jian Wang,Huaqing Zhangiew of this field. This book focuses on new aspects of software process modeling. Specifically, it deals with socio-technological aspects, process modeling for new development types (open source software, dependability applications, etc.) and organization change management...The computer audience is作者: 仇恨 時間: 2025-3-27 22:36 作者: infelicitous 時間: 2025-3-28 02:45 作者: obstinate 時間: 2025-3-28 09:08 作者: 出汗 時間: 2025-3-28 12:50 作者: 低能兒 時間: 2025-3-28 16:29
Using Hidden Markov Model to Predict Human Actions with Swarm Intelligenceeriments designed in this paper are the classification of human activity using two data sets. The first testing data is from the TUM Kitchen Data Set and the other is the Human Activity Recognition using the Smartphone Data Set from UCI Machine Learning Repository. Based on the comparison of the acc作者: Cholecystokinin 時間: 2025-3-28 22:21 作者: narcissism 時間: 2025-3-29 01:09
H-PSO-LSTM: Hybrid LSTM Trained by PSO for Online Handwriter Identificationeans of solving such problem. More specifically, RNN networks with Long and Short Term Memory (LSTM) represent an ideal mean for writer’s recognition. Intuitively, LSTM networks are based on the gradient method for their learning processes. In addition, an LSTM node presents a complex data processin作者: 灰心喪氣 時間: 2025-3-29 06:28 作者: ESPY 時間: 2025-3-29 08:03 作者: exigent 時間: 2025-3-29 14:25 作者: 熱心助人 時間: 2025-3-29 19:18
A Novel Osmosis-Inspired Algorithm for Multiobjective Optimizationhniques, nature-inspired algorithms, for instance, evolutionary algorithms, mimic various natural process and systems and succeed to perform appropriately for hard optimization problems. Besides, in chemistry, osmosis is the natural process of balancing the concentration of two solutions. This proce作者: 圓桶 時間: 2025-3-29 23:31 作者: Dislocation 時間: 2025-3-30 02:16 作者: 傻 時間: 2025-3-30 04:26 作者: CHIDE 時間: 2025-3-30 12:06
Bayesian Curve Fitting Based on RBF Neural Networkss functions (RBF) neural network by adding an extra linear neuron and incorporating the Bayesian learning. The unknown function represented by datasets is approximated by a set of Gaussian basis functions with a linear term. The additional linear term offsets the localized behavior induced by basis 作者: chondromalacia 時間: 2025-3-30 15:21 作者: Cupping 時間: 2025-3-30 19:50
Removing Bias from Diverse Data Clusters for Ensemble Classificationersify the data they are trained on. Sampling techniques such as bagging have been used for this task in the past, however we argue that since they maintain the global distribution, they do not engender diversity. We instead make a principled argument for the use of k-Means clustering to create dive作者: 有組織 時間: 2025-3-31 00:38
An Efficient Algorithm for Complex-Valued Neural Networks Through Training Input Weightslearning machine (CELM) is an efficient algorithm, which owes faster convergence than the common complex backpropagation (CBP) neural networks. However, it needs more hidden neurons to reach competitive performance. Recently, an efficient learning algorithm is proposed for the single-hidden layer fe作者: bromide 時間: 2025-3-31 03:06 作者: Receive 時間: 2025-3-31 05:27 作者: 巨碩 時間: 2025-3-31 11:40
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663590.jpg作者: BILL 時間: 2025-3-31 16:38 作者: patella 時間: 2025-3-31 19:50 作者: evasive 時間: 2025-3-31 22:17
Neural Information Processing978-3-319-70093-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
