Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
This papers describes a new, fast and economical methodology to test linear analog circuits based on adaptive algorithms. To the authors knowledge, this is the first time such tec...
Enterprise Applications are increasingly moving towards providing web access to their users through "thin clients". There is a strong case for their integration using we...
Vishnu S. Pendyala, Simon S. Y. Shim, Jerry Z. Gao
By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial...
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...