| F.1.1 Models of Computation | Article |
A NEW METHOD FOR THE BINARY ENCODING AND HARDWARE IMPLEMENTATION OF METABOLIC P |
Abstract: In this paper we introduce a new method for the binary encoding of metabolic pathways. Our method
assigns a 5-bit word to the functional groups of the molecules or metabolic intermediates, |
| F.1.1 Models of Computation | Article |
ACCOUNTING IN THEORETICAL GENETICS |
Abstract: We present a logical tool which allows understanding the rationality of the translation underlying some
interactions in Nature. In an abstract, formal way, we can demonstrate the epistemol |
| F.1.1 Models of Computation | Article |
ALGORITHMIZATION PROCESS FOR FRACTAL ANALYSIS IN THE CHAOTIC DYNAMICS OF ... |
Abstract: This work deals in the usage of fractal analysis to determine the trend of dynamic
characteristics of chaotic series based on R/S-analysis. We propose an algorithm using the method of
dyna |
| F.1.1 Models of Computation | Article |
AN ARCHITECTURE FOR REPRESENTING BIOLOGICAL PROCESSES BASED ON NETWORKS... |
Abstract: In this paper we propose the use of Networks of Bio-inspired Processors (NBP) to model some
biological phenomena within a computational framework. In particular, we propose the use of an ex |
| F.1.1 Models of Computation | Article |
AUTOMATA–BASED METHOD FOR SOLVING SYSTEMS OF LINEAR CONSTRAINTS IN {0,1} |
Abstract: We consider a finite state automata based method of solving a system of linear Diophantine equations
with coefficients from the set {-1,0,1} and solutions in {0,1}.
Keywords: system of t |
| F.1.2 Modes of Computation | Article |
Building Peculiarities of the Modern Wireless Corporate Network |
Abstract: Under consideration is the building of the modern wireless corporate network that implements the
concept of using their own devices. Represented the requirements for the modern wireless net |
| F.1.1 Models of Computation | Article |
CLASSIFICATION OF DATA TO EXTRACT KNOWLEDGE FROM NEURAL NETWORKS |
Abstract: A major drawback of artificial neural networks is their black-box character. Therefore, the rule
extraction algorithm is becoming more and more important in explaining the extracted rules f |
| F.1.2 Modes of Computation | Article |
COMMUNICATION LATENESS IN SOFTWARE MEMBRANES |
Abstract: This paper presents a study about the time of the communication phase of the P System implemented
as software. After presenting the membranes as software components, is studied how communic |
| F.1.1 Models of Computation | Article |
COMPUTATIONAL MODEL FOR SERENDIPITY |
Abstract: In recent years there have been various attempts and studies that are eager to serendipity in Computer Science. Authors such as Campos and Dias have tried to model the serendipity in order t |
| F.1 COMPUTATION BY ABSTRACT DEVICES | Article |
EVOLVING CASCADE NEURAL NETWORK BASED ON MULTIDIMESNIONAL EPANECHNIKOV’S ... |
Abstract: At present time neural networks based on Group Method of Data Handling (GMDH-NN), nodes of which are two-input N-Adalines, is well-known. Each of N-Adalines contains the set of adjustable sy |
| F.1.2 Modes of Computation | Article |
EXTENDED NETWORKS OF EVOLUTIONARY PROCESSORS |
Abstract: This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets
are able to solve NP-complete problems working with symbolic information. Information can |
| F.1.2 Modes of Computation | Article |
EXTENDED NETWORKS OF EVOLUTIONARY PROCESSORS |
Abstract: This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets are able to solve NP-complete problems working with symbolic information. Information can |
| F.1.1 Models of Computation | Article |
FILTERED NETWORKS OF EVOLUTIONARY PROCESSORS* |
Abstract: This paper presents some connectionist models that are widely used to solve NP-problems. Most well
known numeric models are Neural Networks that are able to approximate any function or clas |
| F.1 COMPUTATION BY ABSTRACT DEVICES | Article |
GENERAL REGRESSION NEURO–FUZZY NETWORK FOR IDENTIFICATION ... |
Abstract: General Regression Neuro-Fuzzy Network, which combines the properties of conventional General
Regression Neural Network and Adaptive Network-based Fuzzy Inference System is proposed in this |
| F.1.1 Models of Computation | Article |
GENERALIZING OF NEURAL NETS: FUNCTIONAL NETS OF SPECIAL TYPE |
Abstract: Special generalizing for the artificial neural nets: so called RFT – FN – is under discussion in the report.
Such refinement touch upon the constituent elements for the conception of ar |
| F.1.1 Models of Computation | Article |
GENETIC BASED SPOT DETECTION METHOD IN TWO-DIMENSIONAL ELECTROPHORESIS IMAGES |
Abstract: The image analysis of two-dimensional electrophoresis images is a difficult task were authors were not able to find any other work in the literature handling with evolutionary computation in |
| F.1.1 Models of Computation | Article |
INTELLIGENT TRADING SYSTEMS |
Abstract: During last 50 years, the markets have been object of study. Technical and fundamental
indicators have been used to try to predict the behavior of the market and then execute buying or sell |
| F.1.2 Modes of Computation | Article |
MEMBRANES DISTRIBUTION USING GENETIC ALGORITHMS |
Abstract: Membrane computing is an area of natural computing, which solves NP-complete problems simulating
permeability of live cells membranes. Different researchers have developed architectures to |
| F.1.1 Models of Computation | Article |
MULTIPLE-MODEL DESCRIPTION AND STRUCTURE DYNAMICS ANALYSIS OF ACTIVE MOVING... |
Abstract: Proposed developed concept of active moving object (AMO) was used to form statement of control
problems which was investigated. Depending on the type of AMO can move and interact in space, |
| F.1.2 Modes of Computation | Article |
NETWORKS OF EVOLUTIONARY PROCESSORS (NEP) AS DECISION SUPPORT SYSTEMS1 |
Abstract: This paper presents the application of Networks of Evolutionary Processors to Decision Support
Systems, precisely Knowledge-Driven DSS. Symbolic information and rule-based behavior in Netwo |
| F.1.2 Modes of Computation | Article |
NETWORKS OF EVOLUTIONARY PROCESSORS: JAVA IMPLEMENTATION ... |
Abstract: This paper is focused on a parallel JAVA implementation of a processor defined in a Network of
Evolutionary Processors. Processor description is based on JDom, which provides a complete, Ja |
| F.1.1 Models of Computation | Article |
NEURAL CONTROL OF CHAOS AND APLICATIONS |
Abstract: Signal processing is an important topic in technological research today. In the areas of nonlinear
dynamics search, the endeavor to control or order chaos is an issue that has received incr |
| F.1.2 Modes of Computation | Article |
NUMERICAL INTEGRATION BY GENETIC ALGORITHMS |
Abstract: It is shown that genetic algorithms can be used successfully in problems of definite integral calculation
especially when an integrand has a primitive which can't be expressed analytically |
| F.1.3 Complexity Measures and Classes | Article |
ON HYPERSIMPLE wtt -MITOTIC SETS, WHICH ARE NOT tt -MITOTIC |
Abstract: A Т-complete wtt-mitotic set is composed, which is not tt-mitotic. A relation is found out between
structure of computably enumerable sets and the density of their unsolvability degrees.
|
| F.1.1 Models of Computation | Article |
POLYNOMIAL APPROXIMATION USING PARTICLE SWARM OPTIMIZATION OF LINEAR ... |
Abstract: This paper presents some ideas about a new neural network architecture that can be compared to a Taylor
analysis when dealing with patterns. Such architecture is based on lineal activation |
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