A Novel Design of Morlet Wavelet to Solve the Dynamics of Nervous Stomach Nonlinear Model

Abstract The present study introduces a novel design of Morlet wavelet neural network (MWNN) models to solve class nonlinear nervous stomach system represented with governing ODEs systems via three categories, tension, food and medicine, i.e., TFM model. comprehensive detail each category is designated together the sleep factor, rate, tension medicine factor death rate are also provided. computational structure MWNNs along global search ability genetic algorithm (GA) local competence active-set algorithms (ASAs), MWNN-GA-ASAs applied optimization an error function, for model its related boundary conditions, performed using hybrid heuristics GA-ASAs. performance obtained outcomes through solving compared results state article numerical computing paradigm Adams methods validate precision MWNN-GA-ASAs. Moreover, statistical assessments studies 50 independent trials 10 neuron-based networks further authenticate efficacy, reliability consistent convergence proposed