Welcome to the official website of the 2027 the 12th International Conference on Computational Intelligence and Applications (ICCIA), which will be held in Sapporo, Japan, during August 14-16, 2027, co-sponsored by Hokkaido University of Science, Japan.
Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Traditionally the three main pillars of CI have been Neural Networks, Fuzzy Systems and Evolutionary Computation. However, in time many nature inspired computing paradigms have evolved. Thus CI is an evolving field and at present in addition to the three main constituents, it encompasses computing paradigms like ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a major role in developing successful intelligent systems, including games and cognitive developmental systems. Over the last few years there has been an explosion of research on Deep Learning, in particular deep convolutional neural networks. Nowadays, deep learning has become the core method for artificial intelligence. In fact, some of the most successful AI systems are based on CI.
The ICCIA is a refereed conference dedicated to the theory and applications of computational intelligence (artificial neural networks, fuzzy systems, evolutionary computation and hybrid systems). The main goal of this conference is to provide the scientific community and industry with a vehicle whereby ideas using two or more conventional and computational intelligence based techniques could be discussed.
The ICCIA welcomes original works in areas such as neural networks, fuzzy logic, evolutionary computation, pattern recognition, hybrid intelligent systems, symbolic machine learning, statistical models, image/audio/video compression and retrieval. The ICCIA greatly encourages new ideas, combining two or more areas, such as neuro-fuzzy, neuro-symbolic, neuro-evolutionary, neuro-symbolic, neuro-pattern recognition, fuzzy-evolutionary, evolutionary-symbolic, fuzzy-evolutionary, evolutionary-symbolic, fuzzy-symbolic, etc. to be submitted.
| Category | EARLY BIRD Before April 20 |
LATE REGISTRATION After April 20 |
|
|---|---|---|---|
| Regular Registration | Authors (Student) | $500 | $530 |
| Authors (Committees) | $530 | $550 | |
| Authors (Regular) | $550 | $580 | |
| Presenter (Presentation Only) | $350 | $400 | |
| For Delegate without submission | Delegate | $280 | $300 |
| Other Items | Additional Paper | $380/per one | $380/per one |
| Additional Page | $50/per one | $50/per one | |
| One Day Tour (optional) | $150 | $150 |
For those who don't have paper/abstract to submit, you're welcome to attend as Delegate/Audience. You're simply required to fill out the information online for delegates and proceed with the payment before registration deadline. We'll contact you after we reviewed the registration. Register Now! (Fill information and pay online)
Fuzzy Theory and System 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 Pattern recognition Expert system
|
Artificial Neural Networks Artificial immune systems Artificial life Associative memories Brain Imaging and neural information processing Brain compuComputational neuroscienceter interface Connectionist theory and cognitive science Classifier systems Cognitive systems and applications Mathematical modeling of neural systems Neuroinformatics and bioinformatics Neural Networks Neurodynamic analysis Neurodynamic optimization and adaptive dynamic programming Learning rules and methods Supervised, unsupervised and reinforcement learning Intrusion detection and fault diagnosis Embedded neural systems Estimation of Distribution Algorithms Time series analysis
|
Evolutionary Computing Ant colony optimization Coevolution and collective behaviour Combinatorial and numerical optimization Constraint and uncertainty handling Differential evolution Data mining 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 Granular computing Hybrid optimisation algorithms Hybrid intelligent systems Robotic and control applications Swarm Intelligence Theory of evolutionary computation Molecular and quantum computing
|
ICCIA 2024 conference proceedings have been included in the IEEE Xplore and indexed by Ei Compendex and Scopus.
ICCIA 2023 conference proceedings have been included in the IEEE Xplore and indexed by Ei Compendex and Scopus.
ICCIA 2022 conference proceedings have been included in the IEEE Xplore and indexed by Ei Compendex and Scopus.
ICCIA 2021 conference proceedings have been included in the IEEE Xplore and indexed by Ei Compendex and Scopus.
ICCIA 2020 conference proceedings have been included in the IEEE Xplore and indexed by Ei Compendex and Scopus.
ICCIA 2019 cconference proceedings have been included in the IEEE Xploreand indexed by Ei Compendex and Scopus.
ICCIA 2018 conference proceedings has been included in IEEE Xplore and indexed by Ei Compendex and Scopus.
ICCIA 2017 conference proceedings has been indexed by IEEE Xplore and Scopus.
ICCIA 2016 conference proceedings have been included in IEEE Xplore and indexed by Ei compendex and Scopus successfully.
Online Submission