heuristics ai artificial neural networks and other avenues to be explored

... Layer and 400/900 neurons in the Map Layer, and 1 -to- P (P=2,3,4) random pattern pairs were memorized as the area (ai= 2.5 and bi=1.5) Figures 11 and 12 show the average of 100 trials, and the storage ... which can be take areas without overlaps to the areas Artificial Neural Networks – Architectures and Applications corresponding to the patterns which are already trained In Eq.(1), and bi are ... Freeman [10], in order to understand brain functioning, a foundation must be laid including brain imaging and non-linear brain dynamics, fields that digital computers make possible Brain imaging is performed...

Ngày tải lên: 15/03/2014, 23:20

... Advanced Air Pollution Artificial neural networks – several types for different purposes Artificial neural networks can be divided into several groups according to their topology The tool was ... artificial Neural Network (MPNN) and the Kohonen neural network (KNN) Both can be replaced by other artificial neural networks for the same purpose, but this does not change the method of using these tools ... should be put into the learning set, while others are rejected and form the remaining set The pattern selection can be done either heuristically or a Kohonen neural network can be used to sort...

Ngày tải lên: 29/03/2014, 21:20

... used feedforward and Kohonen networks The other types of artificial neural networks such as recurrent neural network, associative neural network and dynamic neural networks (refer to http://en.wikipedia.org/wiki/Types_of _artificial_ neural_ networks ... of the Trash and Color and Kim Research cotton grading Journal of Raw Cotton by system of raw Image Processing and cotton Neural Network 16 Artificial Neural Networks - Industrial and Control ... many training pairs with high cv values because they feed inconsistent information to the NN For future work, we suggest that there should be enough training pairs and 22 Artificial Neural Networks...

Ngày tải lên: 20/06/2014, 00:20

... years, neural networks have been used to inspect yarn, fabric and cloth defects and to identify their types (Kuo, 2003) Neural networks are among the best classifier used for fault detection due to ... order to present the fuzzy and stochastic nature of the garment and body sizes, it should be modeled as fuzzy vector or stochastic vector In addition, it is valuable to incorporate NNICEA into garment ... training and testing samples were reported up to 0.94 and respectively (Chen & Huang, 2004) Beltran et al., 2005 also used artificial neural networks to model the multi-linear relationship between...

Ngày tải lên: 20/06/2014, 00:20

... coefficient of variation (%CV), gamma factor (γ), performance factor (PF/4), and etc in order to analyze the results Since neural networks are known to be good at solving classification problems, ... Classical Models and Neural Networks Chemical Engineering Science, Vol.55, pp 2767-2778, ISSN 0009-2509 Chattopadhyay, R & Guha, A (2004) Artificial Neural Networks: Applications to Textiles Textile ... cycles to obtain optimum weights for the same sample sets used to develop emperical model (Table 3) The weights of ANN for tenacity and initial 72 Artificial Neural Networks - Industrial and Control...

Ngày tải lên: 20/06/2014, 00:20

... training process Before training, the network architecture must be defined As a general rule, the number of neurons must be large enough to be able to map the implicit relationship existing between ... (number of hidden layer and neurons in each layer), and number of training iterations or epochs (C) To find the best set of these variables and parameters, these parameters should be varied and ... Levenberg–Marquardt training algorithm was indeed found to be the fastest training algorithm to date Once the training of the network is completed, the ability of the trained neural network to...

Ngày tải lên: 20/06/2014, 00:20

... The Principle and Application of Artificial Neural Networks, Science Press, ISBN 7-03-016570-5, Beijing (in Chinese) Application of Bayesian Neural Networks to Predict Strength and Grain Size of ... weights and biases, which makes the network response to be smoother and less likely to over-fit (MathWorks) The main remaining problem is to find the ideal value for the performance ratio Choosing too ... quite slow because of the too long time of training or falling into local minimum And the best connection weights distribution can not be achieved Used GA to optimize the connection weight and threshold...

Ngày tải lên: 20/06/2014, 00:20

... the term “neuro-fuzzy” refers to combinations of artificial neural networks and fuzzy logic Fuzzy modeling and neural networks have been recognized as powerful tools that can facilitate the effective ... quality of the training procedure The fundamental aim of the training procedure is to adjust all weights in artificial neural network to obtain minimal deviations between the target and calculated ... which consists of both artificial neural networks and fuzzy logic, has been used widely in research areas related to industrial processes (Boyacioglu and Avci, 2010; Esen and Inalli, 2010; Soltani...

Ngày tải lên: 20/06/2014, 00:20

... required to be monitored and controlled simultaneously, and it is quite difficult to derive classical structured models, on account of practical Application of Artificial Neural Networks to Food and ... and when the inputs or the output can not be represented as Application of Artificial Neural Networks to Food and Fermentation Technology 205 mathematical terms (Pandharipande, 2004) Unlike other ... and artificial neural networks The human sense of smell is the faculty which has very important role to play in industries such as beverages, food and perfumes Studies have been carried out to...

Ngày tải lên: 20/06/2014, 00:20

... interpolation and adaptive networks Complex Systems, 2, 312-355, ISSN: 0891-2513 Cartwright, H M (2008) Artificial neural networks in biology and chemistry In: Artificial neural networks : methods and ... will gain a better simulation results, and then again add the data to back training network At the same time, according to the comparison of the different neural networks, we can avoid over-training ... 248 Artificial Neural Networks - Industrial and Control Engineering Applications It adopts the training and emulating alternate work model to avoid the net excess training After the training...

Ngày tải lên: 20/06/2014, 00:20

... of generator located at buses 14 to 17 This realization is adopted for simplicity and to reduce the training time of the neural networks 288 Artificial Neural Networks - Industrial and Control ... generator 14 to the loads and the remaining outputs neurons correspond to the other three generators located at buses 15 to 17 respectively Tables and summarize the description of inputs and outputs ... between generators and loads Table Description of inputs and outputs of the training data for each ANN for reactive power 3.1.2 Training Neural networks are sensitive to the number of neurons...

Ngày tải lên: 20/06/2014, 00:20

... results are competing against each other The Applications of Artificial Neural Networks to Engines 331 Artificial neural networks can be a powerful tool for monitoring of engine operation or the ... vector, where and is the number of parameters The training process can be described as follows: Given a neural network described by equation 1, there is an error metric, that is referred to as ... to be minimised and represents the approximation of the network to some given training patterns The task will be to modify the network parameters to reduce the index over the complete trajectory...

Ngày tải lên: 20/06/2014, 00:20

... n)⎦ ⎣ y( k − m )⎦ (10) Because the last two terms describe only the system history, it is possible to put them T together to the matrix F and the vector of historical output and input h = [ y u ... Figures 20 and 21 The Figures show the comparison between the values obtained by SFF model and the predicted values by ANN model and values from MDH 354 Artificial Neural Networks - Industrial and ... controller – Training set experiment z-1 z-1 E(k) TDM(k) z-1 z-1 NEURAL NETWORK Fig Formal scheme of the neural model Now, topology of the neural network has to be optimized Several neural networks...

Ngày tải lên: 20/06/2014, 00:20

... induction motor and the inverter and its inputs and outputs to the computer A voltage signal is to be sent to the frequency inverter which changes the three phase lines frequency into a new signal ... (1996) Artificial Neural Networks: Theory and Applications, Simon and Schuster (Asia) Pte Ltd., Singapore: Prentice Hall Raison B., F Francois, G Rostaing, and J Rogon (2000) Induction drive monitoring ... performance behavior of the identification with plant process during training (Trainlm at 21 Epochs), where the training data and testing data are following almost same behavior 404 Artificial Neural Networks...

Ngày tải lên: 20/06/2014, 00:20

... No grease in raceway Table Test ball bearings Pattern Bearing Number Number Train Train Train Train Train Train 6 6 6 6 6 6 1 5 6 5 3 5 Batch Batch Table Bearing test results of ARTMAP-based ... systems, neural network and fuzzy logic, have been widely used with the monitoring system to support the detection and diagnostic tasks In this chapter, artificial neural network (ANN) technologies and ... around 426 Artificial Neural Networks - Industrial and Control Engineering Applications the computer screen and click on an icon to perform the specified function For instance, to switch to another...

Ngày tải lên: 20/06/2014, 00:20

... position and the linear velocity of the end-effector on the other hand; which are recorded to be used for the networks training As these joints are moving simultaneously with each other to complete ... never been introduced to the network before have been fed to the second configuration network to test its ability to make prediction and generalization to any set of data later (as it has shown better ... complete the trajectory together Artificial Neural Networks Artificial neural networks (ANNs) are collections of small individual interconnected processing units Information is passed between these...

Ngày tải lên: 20/06/2014, 00:20

... respect to the number of pixels belonging to the healthy or normal tissue class Therefore, balancing between patterns belonging to the MCs class and to the NT class was performed to obtain better ... trained and tested with the same training data set and the same testing data set The best obtained results possessed the following structure and parameters: Number of input neurons equal to the number ... labels of the two classes of the FV were obtained by the previous process Owing to the large number of patterns that not belong to the MCs class, with respect to the number of patterns that belong...

Ngày tải lên: 20/06/2014, 22:20

... used feedforward and Kohonen networks The other types of artificial neural networks such as recurrent neural network, associative neural network and dynamic neural networks (refer to http://en.wikipedia.org/wiki/Types_of _artificial_ neural_ networks ... of the Trash and Color and Kim Research cotton grading Journal of Raw Cotton by system of raw Image Processing and cotton Neural Network 16 Artificial Neural Networks - Industrial and Control ... many training pairs with high cv values because they feed inconsistent information to the NN For future work, we suggest that there should be enough training pairs and 22 Artificial Neural Networks...

Ngày tải lên: 26/06/2014, 23:21

... order to train the neural network, the initial weights and biases are random numbers uniformly distributed between -1 and The Levenberg-Marquardt backpropagation Confidence Intervals for Neural Networks ... comparing to the range of the function f(x), which is between and 1, the predicted interval is found to be too wide A better fit and prediction ability of the neural network can be obtained by ... the number of input neurons and then either add neurons if the training error remains above the training error tolerance, or reduce neurons if the training error quickly drops to the training...

Ngày tải lên: 29/06/2014, 13:20

... used feedforward and Kohonen networks The other types of artificial neural networks such as recurrent neural network, associative neural network and dynamic neural networks (refer to http://en.wikipedia.org/wiki/Types_of _artificial_ neural_ networks ... of the Trash and Color and Kim Research cotton grading Journal of Raw Cotton by system of raw Image Processing and cotton Neural Network 16 Artificial Neural Networks - Industrial and Control ... many training pairs with high cv values because they feed inconsistent information to the NN For future work, we suggest that there should be enough training pairs and 22 Artificial Neural Networks...

Ngày tải lên: 29/06/2014, 13:20