model and its instrumentation. The CA model hardware implementation is based on Field Programmable Gate Array (FPGA) logic …

fuzzy inference system (ANFIS) and artificial neural network (ANN) models. Various combinations of long-term average monthly … as inputs to the ANFIS and ANN models so as to calculate ET <Subscript> 0 </Subscript> given by the FAO-56 PM (Penman …-Monteith) equation. First, a comparison is made among the estimates provided by the ANFIS and ANN models and those by the empirical …

those mathematical and statistical methods. The method used in collecting data and modelling the cost flow is described …

project, it will be designed and realized OBDH-based on FPGA (Field Programmable Gate Array). Because FPGA has many advantages … over commonly used conventional microcontroller. In the development of space technology implementation for FPGA resistant … computational capability, low power consumption, small hardware size, and many others. FPGA-based OBDH in this thesis are designed …

implementation of the proposed algorithm was carried out using FPGA (Field Programmable Gate Array). …

is to be implemented in an Field Programmable Gate Array (FPGA). The specialized Simulink tools used and the design …

In this paper, a Field Programmable Gate Array (FPGA) based controller for single phase PWM boost rectifier is … out on a FPGA-based prototyping platform are presented and discussed in order to illustrate the efficiency of the … developed FPGA-based controller. …

The paper presents a method for FPGA implementation of Self-Organizing Map (SOM) artificial neural networks with on …