This paper presents a novel population prediction algorithm based on modular neural network (PA-MNN) for handling dynamic multi-objective optimization. The proposed consists of three mechanisms. First, we set up (MNN) and train it with historical information. Some the initial solutions are generated by MNN when an environmental change is detected. Second, some predicted forward-looking center p...

In spite of the advancement in computerized imaging, many image modalities produce images with commotion influencing both visual quality and upsetting quantitative analysis. this way, research zone denoising is very dynamic. Among an extraordinary assortment restoration techniques neural network system-based noise suppression a basic productive methodology. paper, Bilateral Filter (BF) based Mo...

This paper presents a Memory Neuron Network (MNN) controller for the lateral position control of a vehicle on highway in the aim to increase the traffic safety. We first present an enhanced MNN with its fast learning algorithm based on double backpropagation. Then we describe experiments achieved in collaboration with the French car manufacturer group PSA Peugeot Citroën on a XM vehicle. The pr...

Medium Neural Networks (MNN), Whale Optimization Algorithm (WAO), and Support Vector Machine (SVM) methods are frequently used in the literature for estimating electricity demand. The objective of this study was to make an estimation demand Turkey’s mainland with use mixed MNN, WAO, SVM. Imports, exports, gross domestic product (GDP), population data based on input from 1980 2019 Turkey, demand...

The N30 component of the somatosensory evoked potential is known to be modulated by sensory interference, motor action, movement ideation and observation. We introduce a new paradigm in which the observation task of another person's hand movement triggers the somatosensory stimulus, inducing the N30 response in participants. In order to identify the possible contribution of the mirror neuron ne...

A new coordination framework material, [Zn{MnN(CN)4(H2O)}]·2H2O·MeOH, has been characterised crystallographically and the effect of a terminal nitride on the N2, H2 and CO2 sorption capacities of the material assessed through porosimetery measurements and DRIFTS.

Classification is a challenging task that has important application in real life and its application are excepted to grow more in future. In this paper, we analyze the effectiveness of Modular Neural Network as a modelling tool for data classification. The MNN classifier outperforms the surveyed nets due to its novel task decomposition and multi-module decision-making techniques. In this paper,...

In this paper, we develop a hierarchical classifier (an inverted tree-like structure) consisting of an organized set of "blocks" each of which is actually a module that performs a feature extraction and an associated classification. We build each of such blocks by coupling a Mirroring Neural Network (MNN) with a clustering (algorithm) wherein the functions of the MNN are automatic data reductio...