A GENETIC ALGORHYTM FOR OPTIMIZING A NEURAL NETWORK CAPABLE TO LEARN FOR FOOD SEARCHING IN A RADIAL MAZE Budilova E.V., Chepurnova N.E., Chepurnov S.A, Teriokhin A.T. M.V.Lomonosov Moscow State University, Dept. of Biology. ... The upper platform has a hole in the middle and several radially directed tubular canals ("arms") each of which can contain a peace of food and has doors opening only in the centrifugal direction. ... The task of the animal is to visit only those arms which contain food. ...

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... It is shown that theoretical methods developed for description of hopping transport in disordered inorganic solids, such as amorphous semiconductors, can also be successfully applied to description of hopping transport in organic disordered systems, such as conjugated or molecularly doped polymers. We concentrate our discussion on percolation approach and show its universal applicability to systems with different distributions of localized state energies. ...

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• J.J.Sanfey. Reality, and those who perceive it
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In our model for RNA secondary structure formation we assume that each of the candidate helices (see definition in the main text) may exist in two states. A helix can be completely zipped, or it can be completely decayed. ... The following schema is used to estimate the effective transition constants between zipped and decayed states: . ... To determine the kinetic constants, we use the transition state theory, which is often used in chemical kinetics (Figure 2). ... Transition . ...

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Grid Information Service (Meta-Directory Service 2) Globus ToolkitTM Developer Tutorial The Globus ProjectTM Argonne National Laboratory USC Information Sciences Institute http://www.globus.org/ Copyright (c) 2002 University of Chicago and The University of Southern California. ... GIIS requests information from GRIS services as needed. Client 3 GIIS Cache contains info from A and B 5 March 25, 2002 Globus ToolkitTM Developer Tutorial: MDS-2 MDS-2 Service Architecture ? ...

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Application of the Quickhull algorithm's principles to the double description method" . Bastrakov S.I., Zolotykh N.Yu. The double description method known also as the Motzkin-Burger algorithm is a method for computing the general solution of a system of linear inequalities. ... The numerical results demonstrate a number of advantages of the proposed modification over the original double description method and (in many cases) over the Quickhull algorithm. ... PostScript (in Russian) (1.51MB) . ...

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... LEX _COLON ) throw curr_ lex ; else { gl (); if ( c_type == LEX _ INT ) { dec ( LEX _ INT ); gl(); } else _ lex ; LEX _SEMICOLON ) _ lex ; LEX _FIN ) _ lex ; 69 / if ( c_type == LEX _BOOL ) { dec ( LEX _BOOL ); gl(); } else throw curr_ lex ; } } } void Parser::B () { if ( c_type == LEX _BEGIN ) { gl(); S(); while ( c_type == ... LEX t hrow curr_lex; else { st_int.push ( c gl(); w hile (c_type = { gl(); if (c_type != throw curr_ e lse { st_int.push gl(); } } if (c_type !=...

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... class applied_topology(ost.Topology.Abstract): #, # p1 self.edges[p1] # p2 p1 7 self.edges = { p1: [p1_1,...,p1_k1] p2: [p2_1,...,p2_k2] ... pM: [pM_1,...,p1_kM] } # p2 # , p1 def proximity(self, p1, p2): # in bool # self.edges[p1] p2 return p2 in self.edges[p1] 3.1.1.2. . class applied_topology(ost.Topology.Abstract): #, # p1 self.edges[p1] # p2 p1 self.edges = { p1: [p1_1,...,p1_k1] p2: [p2_1,...,p2_k2] ... pM: [pM_1,...,p1_kM] } # p # , p def neighborhood(self, p): return self.edges[p] . ...

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