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  Subjects -> COMPUTER SCIENCE (Total: 1928 journals)
    - ANIMATION AND SIMULATION (27 journals)
    - ARTIFICIAL INTELLIGENCE (75 journals)
    - AUTOMATION (40 journals)
    - COMPUTER ARCHITECTURE (9 journals)
    - COMPUTER ASSISTED INSTRUCTION (22 journals)
    - COMPUTER ENGINEERING (11 journals)
    - COMPUTER GAMES (14 journals)
    - COMPUTER GRAPHICS (30 journals)
    - COMPUTER PROGRAMMING (20 journals)
    - COMPUTER SCIENCE (1197 journals)
    - COMPUTER SECURITY (41 journals)
    - CYBERNETICS AND ROBOTICS (60 journals)
    - DATA BASE MANAGEMENT (14 journals)
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    - ELECTRONIC DATA PROCESSING (17 journals)
    - INFORMATION SYSTEMS (91 journals)
    - INTERNET (85 journals)
    - SOCIAL WEB (43 journals)
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    - THEORY OF COMPUTING (6 journals)

COMPUTER SCIENCE (1197 journals)                  1 2 3 4 5 6 7 8 | Last

3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 7)
Abakós     Full-text available via subscription  
Academy of Information and Management Sciences Journal     Full-text available via subscription   (Followers: 49)
ACM Computing Surveys     Full-text available via subscription   (Followers: 16)
ACM Journal on Computing and Cultural Heritage     Full-text available via subscription   (Followers: 5)
ACM Journal on Emerging Technologies in Computing Systems     Full-text available via subscription   (Followers: 8)
ACM Transactions on Accessible Computing (TACCESS)     Full-text available via subscription   (Followers: 4)
ACM Transactions on Algorithms (TALG)     Full-text available via subscription   (Followers: 13)
ACM Transactions on Applied Perception (TAP)     Full-text available via subscription   (Followers: 6)
ACM Transactions on Architecture and Code Optimization (TACO)     Full-text available via subscription   (Followers: 5)
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Full-text available via subscription   (Followers: 6)
ACM Transactions on Computation Theory (TOCT)     Full-text available via subscription   (Followers: 14)
ACM Transactions on Computational Logic (TOCL)     Full-text available via subscription   (Followers: 3)
ACM Transactions on Computer Systems (TOCS)     Full-text available via subscription   (Followers: 13)
ACM Transactions on Computer-Human Interaction     Full-text available via subscription   (Followers: 8)
ACM Transactions on Computing Education (TOCE)     Full-text available via subscription   (Followers: 2)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Full-text available via subscription   (Followers: 2)
ACM Transactions on Economics and Computation     Full-text available via subscription  
ACM Transactions on Embedded Computing Systems (TECS)     Full-text available via subscription   (Followers: 3)
ACM Transactions on Information Systems (TOIS)     Full-text available via subscription   (Followers: 15)
ACM Transactions on Intelligent Systems and Technology (TIST)     Full-text available via subscription   (Followers: 8)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Full-text available via subscription   (Followers: 4)
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Full-text available via subscription   (Followers: 7)
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Full-text available via subscription   (Followers: 5)
ACM Transactions on Sensor Networks (TOSN)     Full-text available via subscription   (Followers: 7)
ACM Transactions on Speech and Language Processing (TSLP)     Full-text available via subscription   (Followers: 7)
ACM Transactions on Storage     Full-text available via subscription  
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 21)
Acta Automatica Sinica     Full-text available via subscription   (Followers: 2)
Acta Informatica     Hybrid Journal   (Followers: 4)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Ad Hoc Networks     Hybrid Journal   (Followers: 11)
Adaptive Behavior     Hybrid Journal   (Followers: 9)
Advanced Engineering Materials     Hybrid Journal   (Followers: 18)
Advanced Science Letters     Full-text available via subscription   (Followers: 5)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 6)
Advances in Artificial Intelligence     Open Access   (Followers: 10)
Advances in Artificial Neural Systems     Open Access   (Followers: 4)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 3)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 15)
Advances in Computer Engineering     Open Access   (Followers: 1)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 66)
Advances in Engineering Software     Hybrid Journal   (Followers: 22)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 12)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 15)
Advances in Human-Computer Interaction     Open Access   (Followers: 16)
Advances in Materials Sciences     Open Access   (Followers: 11)
Advances in Operations Research     Open Access   (Followers: 10)
Advances in Parallel Computing     Full-text available via subscription   (Followers: 7)
Advances in Porous Media     Full-text available via subscription   (Followers: 3)
Advances in Remote Sensing     Open Access   (Followers: 9)
Advances in Science and Research (ASR)     Open Access   (Followers: 7)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 5)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
AGE     Hybrid Journal   (Followers: 4)
Age and Ageing     Hybrid Journal   (Followers: 38)
AI EDAM     Hybrid Journal  
Air, Soil & Water Research     Open Access   (Followers: 6)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 4)
Algebras and Representation Theory     Hybrid Journal  
Algorithmica     Hybrid Journal   (Followers: 4)
Algorithms     Open Access   (Followers: 9)
American Journal of Applied Sciences     Open Access   (Followers: 28)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 2)
American Journal of Computational Mathematics     Open Access   (Followers: 1)
American Journal of Information Systems     Open Access   (Followers: 2)
American Journal of Sensor Technology     Open Access   (Followers: 1)
Anais da Academia Brasileira de Ciências     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 4)
Analysis in Theory and Applications     Hybrid Journal  
Animation Practice, Process & Production     Hybrid Journal   (Followers: 6)
Annals of Combinatorics     Hybrid Journal   (Followers: 6)
Annals of Data Science     Hybrid Journal   (Followers: 1)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 6)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Software Engineering     Hybrid Journal   (Followers: 9)
Annual Reviews in Control     Hybrid Journal   (Followers: 5)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applied and Computational Harmonic Analysis     Full-text available via subscription   (Followers: 1)
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 7)
Applied Categorical Structures     Hybrid Journal   (Followers: 1)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 9)
Applied Computer Systems     Open Access   (Followers: 1)
Applied Environmental Education & Communication     Hybrid Journal   (Followers: 12)
Applied Informatics     Open Access  
Applied Intelligence     Hybrid Journal   (Followers: 6)
Applied Mathematics and Computation     Hybrid Journal   (Followers: 54)
Applied Medical Informatics     Open Access   (Followers: 7)
Applied Numerical Analysis & Computational Mathematics     Hybrid Journal   (Followers: 5)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 7)
Applied Soft Computing     Hybrid Journal   (Followers: 10)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 2)
Architectural Theory Review     Hybrid Journal   (Followers: 2)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 3)
Archives and Museum Informatics     Hybrid Journal   (Followers: 105)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 10)
Artifact     Hybrid Journal   (Followers: 2)

        1 2 3 4 5 6 7 8 | Last

Journal Cover   Advances in Artificial Neural Systems
  [4 followers]  Follow
    
  This is an Open Access Journal Open Access journal
   ISSN (Print) 1687-7594 - ISSN (Online) 1687-7608
   Published by Hindawi Publishing Corporation Homepage  [403 journals]
  • Water Quality Modeling in Reservoirs Using Multivariate Linear Regression
           and Two Neural Network Models

    • Abstract: In this study, two artificial neural network models (i.e., a radial basis function neural network, RBFN, and an adaptive neurofuzzy inference system approach, ANFIS) and a multilinear regression (MLR) model were developed to simulate the DO, TP, Chl a, and SD in the Mingder Reservoir of central Taiwan. The input variables of the neural network and the MLR models were determined using linear regression. The performances were evaluated using the RBFN, ANFIS, and MLR models based on statistical errors, including the mean absolute error, the root mean square error, and the correlation coefficient, computed from the measured and the model-simulated DO, TP, Chl a, and SD values. The results indicate that the performance of the ANFIS model is superior to those of the MLR and RBFN models. The study results show that the neural network using the ANFIS model is suitable for simulating the water quality variables with reasonable accuracy, suggesting that the ANFIS model can be used as a valuable tool for reservoir management in Taiwan.
      PubDate: Tue, 09 Jun 2015 06:15:00 +000
       
  • Application of Neural Network Modeling to Identify Auditory Processing
           Disorders in School-Age Children

    • Abstract: P300 Auditory Event-Related Potentials (P3AERPs) were recorded in nine school-age children with auditory processing disorders and nine age- and gender-matched controls in response to tone burst stimuli presented at varying rates (1/second or 3/second) under varying levels of competing noise (0 dB, 40 dB, or 60 dB SPL). Neural network modeling results indicated that speed of information processing and task-related demands significantly influenced P3AERP latency in children with auditory processing disorders. Competing noise and rapid stimulus rates influenced P3AERP amplitude in both groups.
      PubDate: Thu, 30 Apr 2015 13:17:06 +000
       
  • Generalisation over Details: The Unsuitability of Supervised
           Backpropagation Networks for Tetris

    • Abstract: We demonstrate the unsuitability of Artificial Neural Networks (ANNs) to the game of Tetris and show that their great strength, namely, their ability of generalization, is the ultimate cause. This work describes a variety of attempts at applying the Supervised Learning approach to Tetris and demonstrates that these approaches (resoundedly) fail to reach the level of performance of hand-crafted Tetris solving algorithms. We examine the reasons behind this failure and also demonstrate some interesting auxiliary results. We show that training a separate network for each Tetris piece tends to outperform the training of a single network for all pieces; training with randomly generated rows tends to increase the performance of the networks; networks trained on smaller board widths and then extended to play on bigger boards failed to show any evidence of learning, and we demonstrate that ANNs trained via Supervised Learning are ultimately ill-suited to Tetris.
      PubDate: Mon, 27 Apr 2015 09:08:34 +000
       
  • Sensorless Direct Power Control of Induction Motor Drive Using Artificial
           Neural Network

    • Abstract: This paper proposes the design of sensorless induction motor drive based on direct power control (DPC) technique. It is shown that DPC technique enjoys all advantages of pervious methods such as fast dynamic and ease of implementation, without having their problems. To reduce the cost of drive and enhance the reliability, an effective sensorless strategy based on artificial neural network (ANN) is developed to estimate rotor’s position and speed of induction motor. Developed sensorless scheme is a new model reference adaptive system (MRAS) speed observer for direct power control induction motor drives. The proposed MRAS speed observer uses the current model as an adaptive model. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Simulink. Some simulations are carried out for the closed-loop speed control systems under various load conditions to verify the proposed methods. Simulation results confirm the performance of ANN based sensorless DPC induction motor drive in various conditions.
      PubDate: Mon, 30 Mar 2015 09:14:24 +000
       
  • Stochastic Search Algorithms for Identification, Optimization, and
           Training of Artificial Neural Networks

    • Abstract: This paper presents certain stochastic search algorithms (SSA) suitable for effective identification, optimization, and training of artificial neural networks (ANN). The modified algorithm of nonlinear stochastic search (MN-SDS) has been introduced by the author. Its basic objectives are to improve convergence property of the source defined nonlinear stochastic search (N-SDS) method as per Professor Rastrigin. Having in mind vast range of possible algorithms and procedures a so-called method of stochastic direct search (SDS) has been practiced (in the literature is called stochastic local search-SLS). The MN-SDS convergence property is rather advancing over N-SDS; namely it has even better convergence over range of gradient procedures of optimization. The SDS, that is, SLS, has not been practiced enough in the process of identification, optimization, and training of ANN. Their efficiency in some cases of pure nonlinear systems makes them suitable for optimization and training of ANN. The presented examples illustrate only partially operatively end efficiency of SDS, that is, MN-SDS. For comparative method backpropagation error (BPE) method was used.
      PubDate: Sat, 28 Feb 2015 07:30:27 +000
       
  • Hybrid Feature Selection Based Weighted Least Squares Twin Support Vector
           Machine Approach for Diagnosing Breast Cancer, Hepatitis, and Diabetes

    • Abstract: There is a necessity for analysis of a large amount of data in many fields such as healthcare, business, industries, and agriculture. Therefore, the need of the feature selection (FS) technique for the researchers is quite evident in many fields of science, especially in computer science. Furthermore, an effective FS technique that is best suited to a particular learning algorithm is of great help for the researchers. Hence, this paper proposes a hybrid feature selection (HFS) based efficient disease diagnostic model for Breast Cancer, Hepatitis, and Diabetes. A HFS is an efficient method that combines the positive aspects of both Filter and Wrapper FS approaches. The proposed model adopts weighted least squares twin support vector machine (WLSTSVM) as a classification approach, sequential forward selection (SFS) as a search strategy, and correlation feature selection (CFS) to evaluate the importance of each feature. This model not only selects relevant feature subset but also efficiently deals with the data imbalance problem. The effectiveness of the HFS based WLSTSVM approach is examined on three well-known disease datasets taken from UCI repository with the help of predictive accuracy, sensitivity, specificity, and geometric mean. The experiment confirms that our proposed HFS based WLSTSVM disease diagnostic model can result in positive outcomes.
      PubDate: Wed, 21 Jan 2015 14:30:32 +000
       
 
 
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