A New ANN-Based Modeling Approach for Rapid EMI/EMC Analysis of PCB and Shielding Enclosures

Estimation of radiation characteristics of different slotted microstrip antennas using a knowledge-based neural networks model

“…Sanchez and Zhang have proposed KBNN‐based advanced electromagnetic data sampling algorithms for modeling several microwave structures. Recently, Devabhaktuni et al have introduced a novel ANN‐based reverse‐modeling approach for efficient electromagnetic compatibility analysis of printed circuit boards and shielding enclosures. Thus, in referenced literature , different cases have been resolved using KBNN approach.…”

Prediction of Slot-Shape, Slot-Size and Inserted Air-Gap of a Microstrip Antenna Using Knowledge-Based Neural Network

“…The concept of knowledge-based neural networks (KBNN) has recently been introduced to reduce the required training patterns for a neural network in several cases [13][14][15][16][17][18][19][20][21][22][23]. These cases are mentioned as: designing of microwave problems [13], modeling of microwave components [14], identifying the performance of electromagnetic devices [15], modeling of stripline discontinuities [16], designing of microwave phase shifters [17], modeling of microstrip T-junction [18], automatic model generating technique for microwave modeling [19], advanced electromagnetic data sampling algorithms for several microwave structures [20], reverse-modeling approach to analyze electromagnetic compatibility (EMC) of printed circuit boards (PCBs) and shielding enclosures [21], modeling for determining the data distribution, model structure adaptation, and model training in a systematic framework [22].…”

“…These cases are mentioned as: designing of microwave problems [13], modeling of microwave components [14], identifying the performance of electromagnetic devices [15], modeling of stripline discontinuities [16], designing of microwave phase shifters [17], modeling of microstrip T-junction [18], automatic model generating technique for microwave modeling [19], advanced electromagnetic data sampling algorithms for several microwave structures [20], reverse-modeling approach to analyze electromagnetic compatibility (EMC) of printed circuit boards (PCBs) and shielding enclosures [21], modeling for determining the data distribution, model structure adaptation, and model training in a systematic framework [22]. Hence, in [13][14][15][16][17][18][19][20][21][22], several diverse and complicated cases have been resolved using KBNN techniques, but unfortunately, the literature of KBNN techniques for modeling of microstrip antennas is very limited [23]. Watson et al [23] have only used it for computing single performance parameter of a patch/slot antenna with co-planar waveguide (CPW) feeding.…”

“…In this paper, the concept of KBNN modeling has been used for predicting slot-shape, slot-size and inserted air-gap, simultaneously. To the best of the authors' knowledge, there is no published work for modeling such a complicated problem in the referenced literature [7][8][9][10][11][12] and [13][14][15][16][17][18][19][20][21][22][23]. Handling such a complicated problem using analytical/numerical techniques is still a challenging task facing the electromagnetic community.…”

Electro-magnetic analysis of high-frequency digital signal processors

“…However, along with the ever-increasing operating frequency, the electrical equipment and control boards are suffering from greater electro-magnetic interference (EMI) than ever before (Devabhaktuni et al 2013; He et al 2011; Wang et al 2013). In this paper, the electromagnetic theory and its application to the electromagnetic compatibility are used to analyse the system electro-magnetic compatibility.…”