This paper describes hybrid Hidden Markov Models / Artificial Neural Networks (HMM/ANN) models devoted to speech recognition, and in particular Loquendo HMM/ANN, that is the core of Loquendo ASR. While Hidden Markov Models (HMM) is a dominant approach in most state-of-the-art speaker-independent, continuous speech recognition systems (and commercial products), Artificial Neural Networks (ANN) a...

An integrated process which is proposed for improving dust removal efficiency of cyclones in another paper is considered here for simulation by Artifitial Neural Networks (ANNs) and hybrid ANN and Genetic Algorithm (GA). The process incorporates of two cyclones coupled with a specially designed cylindrical chamber, which includes a rotating tube inside it with air-impinging nozzles drilled on t...

The paper presents a hybrid model of an Artificial Neural Network (ANN) and Genetic Algorithm (GA) for modeling of a hybrid laser welding process. This model is employed for the prediction and optimization of penetration depth with corresponding process parameters. A single program developed for the purpose initially establishes an optimized ANN architecture using a Back-Propagation Neural Netw...

This paper developed an artificial neural network (ANN) model with hybrid Taguchi-genetic algorithm (HTGA) for the nonlinear multiple-input multiple-output (MIMO) model of machining processes. The HTGA in the MIMO ANN model finds the optimal parameters (i.e., weights of links and biases govern the input-output relationship of an ANN) by directly minimizing root-mean-squared error (RMSE), which ...

The quantification and prediction of inter-agent dependency requirements is one of the main concerns in Agent Oriented Requirements Engineering. To evaluate exertion load of an agent within resource constraints, this work provides a comparative analysis of Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN). ANN is widely known due to its capability of learning the...

POWER (power optimization for wireless energy requirements): A MATLAB based algorithm for design of hybrid energy systems K.A. Cook a, F. Albano b, P.E. Nevius c, A.M. Sastry a,b,c,∗ a Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105, USA b Department of Material Science Engineering, University of Michigan, Ann Arbor, MI 48105, USA c Department of Mechanical Eng...