Towards Comprehensive Foundations of Computational Intelligence

Abstract. Although computational intelligence (CI) covers a vast variety of different methods it still lacks an integrative theory. Several proposals for CI foundations are discussed: computing and cognition as compression, meta-learning as search in the space of data models, (dis)similarity based methods providing a framework for such meta-learning, and a more general approach based on chains of transformations. Many useful transformations that extract information from features are discussed. Heterogeneous adaptive systems are presented as particular example of transformation-based systems, and the goal of learning is redefined to facilitate creation of simpler data models. The need to understand data structures leads to techniques for logical and prototype-based rule extraction, and to generation of multiple alternative models, while the need to increase predictive power of adaptive models leads to committees of competent models. Learning from partial observations is a natural extension towards reasoning based on perceptions, and an approach to intuitive solving of such problems is presented. Throughout the paper neurocognitive inspirations are frequently used and are especially important in modeling of the higher cognitive functions. Promising directions such as liquid and laminar computing are identified and many open problems presented.

Epoxy composites reinforced basalt fiber

W pracy przedstawiono wyniki badań właściwości mechanicznych i termomechanicznych kompozytów epoksydowych wzmacnianych włóknem bazaltowym. Wykonano kompozyty warstwowe na osnowie żywicy epoksydowej Epidian 6, utwardzanej trietylenotetraaminą i modyfikowanej metalosilsekwioksanem. Ponadto porównano właściwości mechaniczne i termomechaniczne kompozytów wzmacnianych tkaniną bazaltową z właściwościami kompozytów wzmacnianych tkaniną szklaną.The results of mechanical and thermomechanical properties of epoxy composites with basalt fiber were presented in this paper. The composites were prepared from the epoxy resin Epidian 6 mixed with amine curing agent and metalsilsesqioxane. The properties of the composites with basalt woven fabric were compared to the properties of the composites with glass woven fabric

Comparison of Various Chemical Treatments Efficiency in Relation to the Properties of Flax, Hemp Fibers and Cotton trichomes

The main aim of this study was to chemically modify the plant fiber surface. Hemp, flax fibers and cotton trichomes were subject of surface treatments using silanization, acetylation, benzoylation, and mercerization processes. The fiber properties were evaluated with the use of fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), wide-angle X-ray analysis (WAXS) and thermogravimetric analysis (TGA). Additionally, humidity and color of the modified fibers were evaluated. Chemical treatment of the plant fibers reduced their hydrophilic nature, increased the moisture resistance, and improved their thermal stability. In all the cases the silanization process proved to be the most effective method of improving fiber thermal stability and moisture resistance, yet mercerization and benzoylation methods offered satisfying results as well

Design and Optimization of the Thermo-Mechanical Behavior in Glass Reinforced Polyamide 6 For Automotive Application

In this work a rational approach, such as Design of Experiments, has been used to design E-glass and S2-glass reinforced polyamide 6 composites. The models, derived by the multivariate analysis of the experimental tests, allowed deriving response surfaces in which the effect of reinforce’s composi- tion, content and shape on the thermo-mechanical have been related to com- posite’s behavior during cycling loads and high temperatures. These composites find application in the developing of a sensor used in the automotive engine compartment where thermal and vibration effects must be taken in account to avoid premature failure. Thirty experiments were planned by Design of Exper- iments and analyzed through Analysis Of Variance to correlate reinforce’s properties to coefficient of thermal expansion, Young Modulus and damping over temperature/frequency variation. Statically reliable models were calculated to obtain a numerical estimation of the overall quadratic and cubic interactions among reinforce’s properties, explaining how matrix/reinforce interaction affects composite’s properties. Nevertheless, the employment of S2-glass led to restrained coefficient of thermal expansion of the composites, reinforce’s content of E-glass fibers over 30wt% is in a better agreement with the composite’s overall requirements for this tailored application, due to restrained mechanical damping