The implementation of a Neuro-Fuzzy nonlinear adaptive structure, with Local Linear Models (LLM), designed for fuel pressure estimation in diesel common-rail (CR) hydraulic system, represents the main topic. Hydraulic systems, in general, are nonlinear and engineers have often struggled to find the best solution to approximate the input-output dependencies. Powerful tools are necessary for spli...

This paper presents a methodology to formulate natural language rules for an adaptive neuro-fuzzy system based on discovered knowledge, supported by prior knowledge and statistical modeling. These rules could be improved using statistical methods and neural nets. This gives clinicians a valuable tool to explore the importance of different variables and their relations in a disease and could aid...

The volume of landfills that are increasingly piled up and not handled properly will have a negative impact, such as decrease in public health. Therefore, predicting the with high degree accuracy is needed reference for government agencies community making future policies. This study aims to analyze Adaptive Neuro-Fuzzy Inference System (ANFIS) method. prediction results' level measured by valu...