Applications of Artificial Neural Networks in Chemical Problems
نویسندگان
چکیده
In general, chemical problems are composed by complex systems. There are several chemi‐ cal processes that can be described by different mathematical functions (linear, quadratic, exponential, hyperbolic, logarithmic functions, etc.). There are also thousands of calculated and experimental descriptors/molecular properties that are able to describe the chemical be‐ havior of substances. In several experiments, many variables can influence the chemical de‐ sired response [1,2]. Usually, chemometrics (scientific area that employs statistical and mathematical methods to understand chemical problems) is largely used as valuable tool to treat chemical data and to solve complex problems [3-8].
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تاریخ انتشار 2013