The scope of computational intelligence is being widened continuously, well beyond the original concerns of learning algorithms that try to emulate human intelligence in computers. With two decades of history neural networks are powerful methods with a well-established theory. Kernel machines developed as the state-of-the-art of learning models are currently the cutting-edge methods for learning. Several international organizations, journals and conferences dealing closely with this concept have different definitions. Several journals deal with computational learning models including both approaches. The three most dedicated to the area are: IEEE Transactions on Neural Networks, journal of Machine Learning and journal of Neural Networks. Four conferences with rankings based on the general reputation of the conference in the field are also indicated. The scope of these organizations, journals and conferences is presented next.
Scope of the IEEE Computational Intelligence Society (CIS). The scope of CIS is defined in
the site [1]:
“Theory, design, application and development of biologically and linguistically motivated computational
paradigms emphasizing neural networks, connectionist systems, genetic algorithms, evolutionary
programming, fuzzy systems, and hybrid intelligent systems in which these paradigms are
contained.”
Goals of International Neural Network Society/European Neural Network Society/ Japanese Neural Network Society (INNS/ENNS/JNNS). The goals of INNS/ENNS/JNNS are defined in the site [3]: “Our goals to understand the information processes in the brain and to create more powerful brain-like machines for solving complex problems of the 21st century are very challenging indeed but with the joined efforts of all INNS members we will make a significant progress in the years to come.”
IEEE Transactions on Neural Networks (TNN) scope. The scope of NN is defined in the
site [2]. “Devoted to the science and technology of neural networks, which disclose significant technical
knowledge, exploratory developments, and applications of neural networks from biology to software to
hardware. Emphasis is on artificial neural networks.”
Machine Learning (ML) Journal scope. The scope of ML is defined in the site [4]. “Machine
Learning is an international forum for research on computational approaches to learning. The journal
publishes articles reporting substantive results on a wide range of learning methods applied to a variety
of learning problems.”
Neural Networks (NN) Journal scope. The scope of NN is in the site [5]. “Neural Networks is unique in its range and provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence. Neural Networks welcomes high quality articles that contribute to the full range of neural networks research, ranging from behavioral and brain modeling, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and algorithms. This broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of a new interdisciplinary community that is interested in biologically-inspired computational intelligence.”
There is a large number of Conferences dedicated to the area of Computational Intelligence and it would not be possible to mention them all. A large group is dedicated to the core methods, algorithms and recent advances. Another group is focused on Computational Intelligence & Applications. The diversity and number of applications is very broad and - as referred above - it spans across all disciplines in engineering, computer science and informatics, finance, bioinformatics and medicine. I just mention those the autor is particular related with. They are ranked among 2nd and 3rd tier Conferences.
IEEE International Joint Conference on Neural Networks (IJCNN). The scope of this world event is completely defined in the annual Conference site. IJCNN is the premier international conference on neural networks theory, analysis, and a wide range of applications. The conference theme in 2009 has been “The Century of Brain Computation Neural Network Alliances with Cognitive Computing and Intelligent Machine Embodiments.” Studies into higher cognition and brain functions represent an ultimate frontier of scientific research. IJCNN2009 is a truly interdisciplinary event with a broad range of contributions on recent advances in neural networks, including neuroscience and cognitive science, computational intelligence and machine learning, hybrid techniques, nonlinear dynamics and chaos, various soft computing technologies, bioinformatics and biomedicine, and engineering applications.
IEEE International Conference on Systems Man and Cybernetics (SMC). Aims and scope are indicated next. SMC provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.
International Conference on Neural Networks (ICANN). It is an annual event, organized since 1991 by the European Neural Network Society (ENNS) in co-operation with the International Neural Network Society and the Japanese Neural Network Society. It provides a great discussion forum for the academic and industrial community on achievements not only related to artificial neural networks but to various other topics of artificial intelligence as well. More specifically, ICANN endeavors to address new challenges, share solutions and discuss future research directions in neural networks, learning systems, computational intelligence, and real-world applications. Moreover, it aims in promoting the significant benefits that can be derived by the use of neural networks and novel innovative applications are appreciated.
International Conference on Adaptive and Natural Computing Algorithms (ICANNGA). Aims and scope are both defined in the Call for Papers and in the Conference site. The aim of the conference is to bring together researchers from the same fields and to exchange and communicate new ideas, problems and solutions. The main areas of interest are: neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, applications.