International Journal of Web Applications Rohan Dhuri, Tomislav Ciric, Olivera Pronic-Rancic, Vera Markovic, Zlatica Marinkovic 15 2 2023 https://doi.org/10.6025/ijwa/2023/15/2/35-42 https://www.dline.info/ijwa/fulltext/v15n2/ijwav15n2_1.pdf Inverse modelling of RF MEMS switches is addressed with the neural approach in this work. We use element circuits to develop this approach. The lateral dimension of the switches’ artificial neural networks will be beneficial for measuring the lumped elements. The element circuits will help the bridge’s lateral dimension. We compared the switch dimension received by the inverse model used to confirm the proposed model. The values recorded from the proposed approach are studied.