With a focus on research in artificial intelligence and neural networks, this journal addresses issues involving solutions of real-life manufacturing, defense, management, government and industrial problems which are too complex to be solved through conventional approaches and require the simulation of intelligent thought processes, heuristics, applications of knowledge, and distributed and parallel processing. The integration of these multiple approaches in solving complex problems is of particular importance.The journal presents new and original research and technological developments, addressing real and complex issues applicable to difficult problems. It provides a medium for exchanging scientific research and technological achievements accomplished by the international community.
该期刊专注于人工智能和神经网络的研究,涉及现实生活中的制造、国防、管理、政府和工业问题的解决方案,这些问题过于复杂,无法通过传统方法解决,需要模拟智能思维过程、启发法、知识应用以及分布式和并行处理。在解决复杂问题时,整合这些多种方法尤为重要。该杂志介绍新的原创研究和技术发展,解决适用于困难问题的真实的和复杂问题。它为国际社会交流科学研究和技术成就提供了一个媒介。
MOSHEPO: a hybrid multi-objective approach to solve economic load dispatch and micro grid problems
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01522-4
Plan merging by reuse for multi-agent planning
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01429-0
Small traffic sign detection from large image
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01511-7
Low-time complexity and low-cost binary particle swarm optimization algorithm for task scheduling and load balancing in cloud computing
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01448-x
A hybrid particle swarm optimization with a variable neighborhood search for the localization enhancement in wireless sensor networks
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01467-8
A hybrid modelling method for time series forecasting based on a linear regression model and deep learning
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01426-3
Neural variational matrix factorization for collaborative filtering in recommendation systems
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01469-6
Feature selection for intrusion detection using new multi-objective estimation of distribution algorithms
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01503-7
Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01433-4
A new hybrid feature selection based on multi-filter weights and multi-feature weights
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01470-z
Brain storm optimization for feature selection using new individual clustering and updating mechanism
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01513-5
A grouping particle swarm optimizer
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01409-4
A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01570-w
A novel shot boundary detection system using hybrid optimization technique
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01444-1
Detecting facial emotions using normalized minimal feature vectors and semi-supervised twin support vector machines classifier
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01500-w
Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01437-0
A spatial and temporal features mixture model with body parts for video-based person re-identification
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01459-8
Consistent fuzzy preference relation with geometric Bonferroni mean: a fused preference method for assessing the quality of life
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01415-6
A projection wavelet weighted twin support vector regression and its primal solution
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01422-7
A discrete gravitational search algorithm for the blocking flow shop problem with total flow time minimization
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01457-w
A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01483-8
Applying uncertain frequent pattern mining to improve ranking of retrieved images
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01412-9
Fuzzy rule-based classification system using multi-population quantum evolutionary algorithm with contradictory rule reconstruction
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01478-5
Feature subset selection combining maximal information entropy and maximal information coefficient
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01537-x
Discovering varying patterns of Normal and interleaved ADLs in smart homes
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01493-6
Epsilon-nonparallel support vector regression
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01498-1
An improved recurrent neural networks for 3d object reconstruction
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01523-3
EnSWF: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classification
来源期刊:Applied IntelligenceDOI:10.1007/S10489-019-01425-4
Multi-channel biomimetic visual transformation for object feature extraction and recognition of complex scenes
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01550-0
An effective distance based feature selection approach for imbalanced data
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01543-z
An algorithm for influence maximization in competitive social networks with unwanted users
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01506-4
Enhancing data analysis: uncertainty-resistance method for handling incomplete data
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01514-4
Enhancing sentence embedding with dynamic interaction
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01456-x
A novel parallel accelerated CRPF algorithm
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01534-0
Research on CTR prediction based on stacked autoencoder
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01416-5
Hiding sensitive itemsets without side effects
来源期刊:Applied IntelligenceDOI:10.1007/s10489-018-1329-5
An intelligent intrusion detection system
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01436-1
An effective asynchronous framework for small scale reinforcement learning problems
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01501-9
A novel multi-step reinforcement learning method for solving reward hacking
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01417-4
A new modeling and inference approach for the belief rule base with attribute reliability
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01586-2
Using convolutional neural networks for character verification on integrated circuit components of printed circuit boards
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01486-5
Sparse large-margin nearest neighbor embedding via greedy dyad functional optimization
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01472-x
Multimodal data fusion framework based on autoencoders for top-N recommender systems
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01430-7
A robust interactive entertainment robot for robot magic performances
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01565-7
Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01508-2
Detecting smoky vehicles from traffic surveillance videos based on dynamic features
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01589-z
Transfer learning based 3D fuzzy multivariable control for an RTP system
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01557-7
Recognising innovative companies by using a diversified stacked generalisation method for website classification
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01509-1
Mining clique frequent approximate subgraphs from multi-graph collections
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01564-8
A jigsaw puzzle inspired algorithm for solving large-scale no-wait flow shop scheduling problems
来源期刊:Applied IntelligenceDOI:10.1007/s10489-019-01497-2