Advanced Applications of Neural Networks and Artificial Intelligence: A Review

Artificial Neural Network is a branch of Artificial intelligence and has been accepted as a new computing technology in computer science fields. This paper reviews the field of Artificial intelligence and focusing on recent applications which uses Artificial Neural Networks (ANN"s) and Artificial Intelligence (AI). It also considers the integration of neural networks with other computing methods Such as fuzzy logic to enhance the interpretation ability of data. Artificial Neural Networks is considers as major soft-computing technology and have been extensively studied and applied during the last two decades. The most general applications where neural networks are most widely used for problem solving are in pattern recognition, data analysis, control and clustering. Artificial Neural Networks have abundant features including high processing speeds and the ability to learn the solution to a problem from a set of examples. The main aim of this paper is to explore the recent applications of Neural Networks and Artificial Intelligence and provides an overview of the field, where the AI & ANN"s are used and discusses the critical role of AI & NN played in different areas.

[1]  Eike Falk Anderson.  Playing Smart - Artificial Intelligence in Computer Games , 2003 .

[2]  B. Yegnanarayana,et al.  Artificial Neural Networks , 2004 .

[3]  Lucila Ohno-Machado,et al.  Natural language processing: an introduction , 2011, J. Am. Medical Informatics Assoc..

[4]  Jordan B. Pollack,et al.  Statistical Reasoning Strategies in the Pursuit and Evasion Domain , 1999, ECAL.

[5]  Lei Gao,et al.  Automatic Learning of Semantic Region Models for Event Recognition , 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

[6]  A. Roli.  Artificial Neural Networks , 2012, Lecture Notes in Computer Science.

[7]  Yasunori Takemura,et al.  Dynamics classification of underwater robot and introduction to controller adaptation , 2010, 2010 World Automation Congress.

[8]  David William Pearson,et al.  Applications of artificial neural networks , 1998 .

[9]  Yanbo Huang,et al.  Advances in Artificial Neural Networks - Methodological Development and Application , 2009, Algorithms.

[10]  Xindong Wu.  Data Mining: An AI Perspective , 2004, IEEE Intell. Informatics Bull..

[11]  Hebah H. O. Nasereddin.  Stream Data Mining , 2011, Int. J. Web Appl..

[12]  C. V. Ramamoorthy,et al.  On teaching AI and expert systems courses , 1993 .

[13]  George Luger,et al.  Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition) , 2004 .

[14]  Xiaorong Gao,et al.  Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.

[15]  Z. Hasan.  A Survey on Shari’Ah Governance Practices in Malaysia, GCC Countries and the UK , 2011 .

[16]  Eric Deeson.  The Recursive Universe: Cosmic Complexity and the Limits of Scientific Knowledge , 1987 .

[17]  J. Srinivas,et al.  Neural Networks: Algorithms and Applications , 2002 .

[18]  Zhi-Hua Zhou,et al.  Rule extraction: Using neural networks or for neural networks? , 2004, Journal of Computer Science and Technology.

[19]  Akhil Kaushik,et al.  EXPERT SYSTEMS ADVANCES IN EDUCATION , 2010 .

[20]  Arndt von Twickel,et al.  Foundations of Swarm Intelligence: From Principles to Practice , 2005, nlin/0502003.

[21]  Nadia Magnenat-Thalmann,et al.  Fast Facial Animation Design for Emotional Virtual Humans , 2005 .

[22]  H. Berger.  Über das Elektrenkephalogramm des Menschen , 1929, Archiv für Psychiatrie und Nervenkrankheiten.

[23]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[24]  P. Venketesh,et al.  A Survey on Applications of Neural Networks and Evolutionary Techniques in Web Caching , 2009 .

[25]  Charles Leave.  Neural Networks: Algorithms, Applications and Programming Techniques , 1992 .

[26]  Tamara A. Knutsen,et al.  DESIGNING AN UNDERWATER EEL-LIKE ROBOT AND DEVELOPING ANGUILLIFORM LOCOMOTION , 2001 .

[27]  J. R. Wolpaw.  Brain-computer interfaces: signals, methods, and goals , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

[28]  Guangming Zhang,et al.  Dynamic neuro-fuzzy control design for civil aviation aircraft in intelligent landing system , 2011, 2011 IEEE International Conference on Mechatronics and Automation.

[29]  Jacek M. Zurada,et al.  Introduction to artificial neural systems , 1992 .

[30]  Ajith Abraham,et al.  Artificial Neural Networks , 2005 .

[31]  E Donchin,et al.  Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[32]  Tieniu Tan,et al.  A hierarchical self-organizing approach for learning the patterns of motion trajectories , 2004, IEEE Trans. Neural Networks.

[33]  K. Nakayaman,et al.  A Brain Computer Interface Based on Neural Network with Efficient Pre-Processing , 2006, 2006 International Symposium on Intelligent Signal Processing and Communications.

[34]  Laurene V. Fausett,et al.  Fundamentals Of Neural Networks , 1993 .

[35]  Lotfi A. Zadeh,et al.  The Roles of Fuzzy Logic and Soft Computing in the Conception, Design and Deployment of Intelligent Systems , 1997, Software Agents and Soft Computing.