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SONNIA
Self-organizing neural network package.
 
Features
  • offers unsupervised and supervised learning
  • projects data from high-dimensional spaces into two-dimensional planes
  • includes classification and clustering procedures
  • enables modeling and prediction of complex relationships
  • selectable planar or toroidal topology of the network
  • visualization of underlying data such as chemical structures, reactions and spectra
User Interface
Graphical user interface with batch mode capabilities

sonnia (25K)
System Requirements
  • Microsoft Windows NT/2000/XP
  • SUSE Linux (Release 8/9, Kernel 2.4/2.6 for x86, AMD64)
  • Red Hat Linux 8, 9, Enterprise (Kernel 2.4/2.6 for x86)
  • Sun SPARC, Solaris 2.8 or higher
  • Silicon Graphics, IRIX 6.5
Additional Info
  Downloadable PDF
 
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Warehousing Structures and Data
Generating 2D Coordinates
Generating 3D Coordinates
Controlling Structural State & Integrity
Enumerating Stereoisomers & Tautomers
Exploring Conformational Space
Visualizing Structures
Computing Descriptors
Predicting Properties
Analyzing and Modeling Data
ADRIANA
SONNIA
Warehousing Reactions
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Converting and Manipulating Files
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