In this paper, we propose a Stochastic Dynamic Batch Local Search (SDBLS) algorithm to train Elman Neural Network (ENN) for Dynamic Systems Identification (DSI). First, we propose a new Batch Local Search (BLS) algorithm for ENN from a new angle instead of traditional Back Propagation (BP) based gradient descent technique, then add the stochastic dynamic signal into the network in order to avoi...

Color quantization is an important operation with numerous applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms. However, despite its popularity as a general purpose clustering algorithm, K-means has not received much respect in the color quantization literature because of its high computational requirements and sensitivity...

In a pipeless batch plant, mobile reactors are transported between process stations. Typical process steps performed at these stations are filling, measuring, feeding and cooling/heating. In this paper, three hybrid models of a pipeless batch plant for the production of copolymers have been developed. The dynamics of the chemical reactions are modelled in detail by means of mass balances. The t...

An amperometric enzyme-based sensor-system for the direct detection of formaldehyde in air is under investigation. The biosensor is based on a native bacterial NAD(+)- and glutathione-independent formaldehyde dehydrogenase as biorecognition element. The enzyme was isolated from Hyphomicrobium zavarzinii strain ZV 580, grown on methylamine hydrochloride in a fed-batch process. The sensor depends...

It is shown that the presence of mixed-culture growth in batch fermentation processes can be very accurately inferred from total biomass data by means of the wavelet analysis for singularity detection. This is accomplished by considering simple phenomenological models for the mixed growth and the more complicated case of mixed growth on a mixture of substrates. The main quantity provided by the...

Analysis of variance (Anova) is an extremely important method in exploratory and confirmatory data analysis. Unfortunately, in complex problems (for example, splitplot designs), it is not always easy to set up an appropriate Anova. We propose a hierarchical analysis that automatically gives the correct Anova comparisons even in complex scenarios. The inferences for all means and variances are p...

The characteristics of waste activated sludge (WAS) were investigated by batch and continuous experiments using thermal pretreatment in the anaerobic digestion. The solubilization ratios of the chemical oxygen demand (COD), protein and carbohydrate increased as 14.8 21.5, 14.7 23.5, and 21 35 %, respectively. The ∼ ∼ ∼ maximum value of specific methane production was achieved at the thermal pre...

Analysis of variance (ANOVA) is an extremely important method in exploratory and confirmatory data analysis. Unfortunately, in complex problems (e.g., split-plot designs), it is not always easy to set up an appropriate ANOVA. We propose a hierarchical analysis that automatically gives the correct ANOVA comparisons even in complex scenarios. The inferences for all means and variances are perform...

This paper describes an automatic batch-style dictation paradigm in which the entire dictated speech is fully utilized for speaker adaptation and is recognized using the speaker adaptation results. The key point is that the same speech data is used both for recognition as the target and for speaker adaptation. Two steps, speech recognition and speaker adaptation which uses recognition results a...

Neural Gas (NG) constitutes a very robust clustering algorithm given Euclidean data which does not suffer from the problem of local minima like simple vector quantization, or topological restrictions like the self-organizing map. Based on the cost function of NG, we introduce a batch variant of NG which shows much faster convergence and which can be interpreted as an optimization of the cost fu...