Search results for "Term memory"

A new method for forecasting energy output of a large-scale solar power plant based on long short-term memory networks a case study in Vietnam

2021

Abstract This paper proposes a new model for short-term forecasting power generation capacity of large-scale solar power plant (SPP) in Vietnam considering the fluctuations of weather factors when applying the Long Short-Term Memory networks (LSTM) algorithm. At first, a configuration of the model based on the LSTM algorithm is selected in accordance with the weather and operating conditions of SPP in Vietnam. Not only different structures of LSTM model but also other conventional forecasting methods for time series data are compared in terms of error accuracy of forecast on test data set to evaluate the effectiveness and select the most suitable LSTM configuration. The most suitable config…

Construction and Psychometric Properties of Sentence Repetition Test (SRT) for Latvian Primary School Children

2014

Forecasting energy output of a solar power plant in curtailment condition based on LSTM using P/GHI coefficient and validation in training process, a…

2022

This study presents how to improve the short-term forecast of photovoltaic plant's output power by applying the Long Short-Term Memory, LSTM, neural networks for industrial-scale solar power plants in Vietnam under possible curtailment operation. Since the actual output power does not correspond to the available power, new techniques (Global Horizontal Irradiance - GHI interval division, P/GHI factor addition (P - Power)) have been designed and applied for processing errors and missing data. The prediction model (LSTM network, structure of hidden layers, number of nodes) has been developed by the authors in a previous work. In this new version of the model, the training technique is improve…

Naming speed and Effortful and Automatic Inhibition in Children with Arithmetic Learning Disabilities

2009

Abstract We report a two-year longitudinal study aimed at investigating the rate of access to numerical and non-numerical information in long-term memory and the functioning of automatic and effortful cognitive inhibition processes in children with arithmetical learning disabilities (ALDs). Twelve children with ALDs, of age 9.3 years, and twelve gender–age-matched controls were involved in the study. Rate of access was measured through digit- and letter-naming tasks, automatic cognitive inhibition was measured using a negative priming paradigm, and effortful cognitive inhibition was measured rating intrusion errors in a working memory task. Children with ALDs suffered from a deficit in the …

Assessing hot and cool executive functions in preschoolers: affective flexibility predicts emotion regulation

2018

Affective flexibility (AF) is the ability to alternate between processing emotional and non-emotional information. This hot executive function has been understudied during early development. The fi...

El síndrome del cromosoma X Frágil: fenotipo conductual y dificultades de aprendizaje

2015

In this article, we describe the behavioral phenotype of individuals with Fragile X Syndrome and its impact in the educational scope. This syndrome is characterized by difficulties in sensory integration, cognitive deficits (verbal reasoning, abstract/ visual and cuantitative skills, short term memory, sequential processing, attention and executive processes), language disorders (phonetic-phonologicals, semanticals, morphosyntacticals and pragmaticals) and communication disorders, social anxiety, general hyperarousal, autism, non autistic social difficulties, attention deficit and hyperactivity, and learning disabilities. The behavioral phenotype is highly variable and depends on sex, age, …

Exploring working memory in children with low arithmetical achievement

2005

Abstract This research aimed at exploring the working memory functions in children with low arithmetical achievement and normal reading, compared to age matched controls (mean age 9 years). All the children completed a series of working memory tasks, involving the central executive functions (using both linguistic and numerical material), the phonological loop (using words, pseudo-words and digits) and the visual sketchpad (using both static visual-spatial patterns and visual-spatial sequences). Results indicated that poor arithmeticians performed worse than age-matched controls in all the visual sketchpad tasks and in all the central executive tasks, whether they used linguistic or numeric…

Are Neural Networks Imitations of Mind?

2015

Artificial neural networks are often understood as a good way to imitate mind through the web structure of neurons in brain, but the very high complexity of human brain prevents to consider neural networks as good models for human mind;anyway neural networks are good devices for computation in parallel. The difference between feed-forward and feedback neural networks is introduced; the Hopfield network and the multi-layers Perceptron are discussed. In a very weak isomorphism (not similitude) between brain and neural networks, an artificial form of short term memory and of acknowledgement, in Elman neural networks, is proposed.

Probabilistic versus deterministic memory limited learning

1995

Verbal and academic skills in children with early-onset type 1 diabetes

2010

Aim  Basic verbal and academic skills can be adversely affected by early-onset diabetes, although these skills have been studied less than other cognitive functions. This study aimed to explore the mechanism of learning deficits in children with diabetes by assessing basic verbal and academic skills in children with early-onset diabetes and in comparison children. In addition, the incidence of dyslexia (≤10th centile in reading speed or reading–spelling accuracy) was studied. Method  The performance of 51 children with early-onset diabetes (25 females, 26 males; mean age 9y 11mo, SD 4mo; range 9–10y) was compared with that of 92 children without diabetes (40 females, 52 males; mean age 9y 1…