This is TikiWiki v1.9.8.3 -Sirius- © 2002–2007 by the Tiki community Thu 22 of Aug, 2019 [21:13 UTC]

Category F.1.1 Models of Computation

Automata (e.g., finite, push-down, resource-bounded) Bounded-action devices (e.g., Turing machines, random access machines) Computability theory Relations between models Self-modifying machines (e.g., neural networks) Unbounded-action devic
Browse in:
All Wiki pages Image galleries Images File galleries Blogs Trackers Items Surveys Articles

search category: deep:

Show subcategories objects


Objects (22)

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, 
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 
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 
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 
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 
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 
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 
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 
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 
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 
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 
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,  
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 
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  
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 
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 
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 
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  
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 
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 
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 
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 

Page: 1/1
World Clock
Powered by Tikiwiki Powered by PHP Powered by Smarty Powered by ADOdb Made with CSS Powered by RDF powered by The PHP Layers Menu System
RSS Wiki RSS Blogs rss Articles RSS Image Galleries RSS File Galleries RSS Forums RSS Maps rss Calendars
[ Execution time: 0.30 secs ]   [ Memory usage: 9.11MB ]   [ GZIP Disabled ]   [ Server load: 0.33 ]