Archem route designer free download

Configuration of the forms appearance presenting data about the features in predefined layers. Symbology for the predefined layers. QGIS Plugins Standard installation of QGIS is extended with the set of plugins selected from the publicly available repository and with the set of a free software libraries. Clustering libraries.

Algorithm for clustering address points with the basic geometric metric. Algorithm for proposing splice closure locations.

Algorithm for proposing cable routes and profiles. Fibre nodes serving areas algorithm. Support for versioning of the proposed solutions. Document generation The final product of the FTTH Planner operation is generating of a list depicting a fibre optic network proposed by the network algorithms.

Cable routes on the backround map. List of splice closures and cables. List of the address points to be connected to network. Address points assigned to splice closure serving areas. Distribution of the costs of fibre optic cables between connected address points. Fiber optic network planning and design Fiber network design software for small and medium operators.

About us Contact Support forum. This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish.

Accept Read More. Close Privacy Overview This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Afterward, with the help of machine learning, two-step models which combine reaction rules and statistical methods became the main stream.

Recently, fully data-driven learning methods using deep neural networks which even do not require any prior knowledge, were applied into this field.

Up to now, however, these methods still cannot replace experienced human organic chemists due to their relatively low accuracies. Future new algorithms with the aid of powerful computational hardware will make this topic promising and with good prospects.

Keywords: chemical synthesis analysis; deep learning; pathway design; retrosynthesis; seq2seq.