Welcome to the official website of the 2019 the 4th International Conference on Computational Intelligence and Applications (ICCIA 2019), which will be held in Nanchang, Jiangxi Province, China, during June 21-23, 2019, sponsored by Nanchang University .

Computational Intelligence (CI), as an offshoot of the subject of Artificial Intelligence (AI), is a research field of studying various tools such as fuzzy logic, neuro networks, genetic algorithms, etc. Growing technical achievements to gather and integrate multi-“style” data from sensors, mobile devices, social media, log files, cameras, microphones etc. provide useful information about the state and the environment of the data sources, but also result in large and complex data sets, known as Big Data, which requires more efficient and powerful data analysis methods and applications.

Recently, the great breakthroughs, Convolutional Nets in Deep Learning, in the field of Computational Intelligence have tremendously attracted the sights of researchers and aroused their enthusiasms in exploring broader applications of the CI solutions to “Big Data” problems. Deep Learning, as a core domain of CI, provides more efficient algorithms to deal with large-scale data in neuroscience, computer vision, speech recognition, language processing, biomedical informatics, recommender systems, learning theory, robotics, gaming theory. DL is gaining applications in many domains due to the availability of large amount of data coupled with machine learning algorithms. As an increasing trend, it is necessary to establish a research forum that will enable to identify the emerging trends in the domain. As a huge part of “Big Data” comes from social networks, understanding and representations of texts in Natural Languages (NL) play an extremely important role and it is indispensable to bring Computational Semantics elements into CI to provide a true machine understandable, interactive, and communicable environment. To meet these requirements, ICCIA 2019 will provide researchers and practitioners an effective forum to exchange their latest findings and achievements in the fields of Computational Intelligence.

Topics of interest for submission include, but are not limited to:

Associative memories

Ant colony optimization

Artificial immune systems

Artificial life

Bioinformatics and bioengineering

Brain Imaging and neural information processing

Brain compuComputational neuroscienceter interface

Connectionist theory and cognitive science

Classifier systems

Coevolution and collective behaviour

Cognitive systems and applications

Combinatorial and numerical optimization

Constraint and uncertainty handling

Differential evolution Data mining

Data mining

Embedded neural systems

Evolutionary Computation

Estimation of Distribution Algorithms

Evolutionary computation for bioinformatics

Evolutionary computation in dynamic and uncertain environments

Evolutionary computer vision

Evolutionary data mining

Evolutionary design

Evolutionary games

Evolutionary intelligent agents

Evolutionary learning systems

Evolutionary robotics

Evolutionary techniques in economics, finance and marketing

Evolvable hardware and software

Evolving neural networks and fuzzy systems

Fuzzy Systems

Fuzzy logic and fuzzy set theory

Fuzzy-neuro-evolutionary -rough hybrids

Fuzzy and rough data analysis

Fuzzy optimization and design

Fuzzy decision making

Fuzzy systems modeling and identification

Fuzzy mathematics

Fuzzy systems architectures and hardware

Fuzzy pattern recognition

Fuzzy image processing

Fuzzy control and systems

Fuzzy data mining and forecasting

Fuzzy information processing

Fuzzy human interface

Fuzzy internet and multimedia

Fuzzy computing with words

Granular computing

Hardware implementation

Hybrid optimisation algorithms

Hybrid intelligent systems

Image and signal processing

Intrusion detection and fault diagnosis

Mathematical modeling of neural systems

Memetic and hybrid algorithms

Multi-objective optimization

Molecular and quantum computing

Neuroinformatics and bioinformatics

Neural Networks

Neurodynamic analysis

Neurodynamic optimization and adaptive dynamic programming

Probabilistic and information-theoretic methods

Pattern recognition

Robotic and control applications

Representation and operators

Supervised, unsupervised and reinforcement learning

Support vector machines and kernel methods

Swarm Intelligence

Theory of evolutionary computation

Time series analysis

Telecommunications

Transportation systems

Digital Multimedia forensics