Computer Sciences

On the Solution of Chess Positions Using Computational Tree Logic

The paper describes a construction of four formulas of Computational tree logic corresponding to an arbitrary chess position. At least one of these formulas is satisfiable and leads to the solution of chess position: value of position (a draw or a victory of one of the sides) and necessary strategy for getting this value is constructed using the formula model.

The Application of Artificial Neural Networks to Identification of Some Amino Acids in Binary Mixtures

The paper develops the technique of applying the method of artificial neural networks for processing of the spectrophotometric data in order to determine the phenylalanine and tyrosine in undivided binary mixtures of these amino acids at microgramm concentrations. Calculated error in the determination is: minimum of 1%, the maximum does not exceed 10%. The maximum error is observed for mixtures in which the content components differ by an order or more.