| 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.1.1 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.1.1 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.1.1 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.1.1 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.1.1 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.1.1 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.1.1 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 |
| F.1.1 Models of Computation | Article |
Polynomial Regression using a Perceptron with Axo-axonic Connections |
Abstract: Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about
the environment with other individuals to get optimal solutions. Such co-operative mod |
| F.1.1 Models of Computation | Article |
PRION CRYSTALIZATION MODEL AND ITS APPLICATION TO RECOGNITION PATTERN |
Abstract: This paper introduces APA (“Artificial Prion Assembly”): a pattern recognition system based on artificial
prion crystalization. Specifically, the system exhibits the capability to class |
| F.1.1 Models of Computation | Article |
Self-Organizing Architectural design based on Morphogenetic Programming |
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 |
SIMULTANEOUS CONTROL OF CHAOTIC SYSTEMS USING RBF NETWORKS |
Abstract: Chaos control is a concept that recently acquiring more attention among the research community,
concerning the fields of engineering, physics, chemistry, biology and mathematic. This paper |
| F.1.1 Models of Computation | Article |
SOLVING A DIRECT MARKETING PROBLEM BY THREE TYPES OF ARTMAP NEURAL NETWORKS |
Abstract: An important task for a direct mailing company is to detect potential customers in order to avoid
unnecessary and unwanted mailing. This paper describes a non-linear method to predict profi |
| F.1.1 Models of Computation | Article |
STATIC ANALYSIS OF USEFULNESS STATES IN TRANSITION P SYSTEMS |
Abstract: Transition P Systems are a parallel and distributed computational model based on the notion of the
cellular membrane structure. Each membrane determines a region that encloses a multiset of |
| F.1.1 Models of Computation | Article |
STRING MEASURE APPLIED TO STRING SELF-ORGANIZING MAPS AND NETWORKS OF ... |
Abstract: This paper shows some ideas about how to incorporate a string learning stage in self-organizing
algorithms. T. Kohonen and P. Somervuo have shown that self-organizing maps (SOM) are not res |
| F.1.1 Models of Computation | Article |
TIMED TRANSITION AUTOMATA AS NUMERICAL PLANNING DOMAIN |
Abstract: A general technique for transforming a timed finite state automaton into an equivalent automated
planning domain based on a numerical parameter model is introduced. Timed transition automat |
Wiki
