Artificial Neural Networks for Secondary Structure Prediction

Jun 10, 2013

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Artificial Neural Networks for Secondary Structure Prediction

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Artificial Neural Networks

Articifial Intelligence. Artificial Neural Networks. Brian Talecki CSC 8520 Villanova University. ANN - Artificial Neural Network. A set of algebraic equations and functions which determine the best output given a set of inputs.

1.08k views • 41 slides

Artificial Neural Networks Approach to Stock Prediction

Artificial Neural Networks Approach to Stock Prediction. Presented by Justin Jaeck. Project Outline. Project Description Explanation of neural network usage and procedure Method Formatting of Data Matlab implementation Results from experimentation Conclusion. Project Description.

539 views • 12 slides

Artificial Neural Networks

Artificial Neural Networks. Dan Simon Cleveland State University. Neural Networks. Artificial Neural Network (ANN) : An information processing paradigm that is inspired by biological neurons

2.14k views • 44 slides

Artificial Neural Networks

Artificial Neural Networks. Michael Prestia COT 4810 March 18, 2008. The Human Brain. Composed of neurons Neurons send signals to each other. Neurons. Neurons store and transmit information Neurons send messages to one another through a synapse.

843 views • 22 slides

Artificial Neural Networks

Artificial Neural Networks. Torsten Reil torsten.reil@zoo.ox.ac.uk. Outline. What are Neural Networks? Biological Neural Networks ANN – The basics Feed forward net Training Example – Voice recognition Applications – Feed forward nets Recurrency Elman nets Hopfield nets

807 views • 47 slides

Artificial Neural Networks

Artificial Neural Networks. Introduction. Artificial Neural Networks (ANN) Information processing paradigm inspired by biological nervous systems ANN is composed of a system of neurons connected by synapses ANN learn by example Adjust synaptic connections between neurons. History.

1.37k views • 82 slides

Artificial Neural Networks

Artificial Neural Networks. Artificial Neural Networks. The next intelligence. DAYANAND & ABHISHEK ECE [2-1] CMR Engineering College. ABSTRACT. Neural Networks was a result of the discovery of new techniques and developments i n computer hardware technology.

2.16k views • 17 slides

PREDICTING PROTEIN SECONDARY STRUCTURE USING ARTIFICIAL NEURAL NETWORKS

PREDICTING PROTEIN SECONDARY STRUCTURE USING ARTIFICIAL NEURAL NETWORKS. Sudhakar Reddy Patrick Shih Chrissy Oriol Lydia Shih. Proteins And Secondary Structure. Sudhakar Reddy. Project Goals. To predict the secondary structure of a protein using artificial neural networks. STRUCTURES.

991 views • 80 slides

Artificial Neural Networks

Artificial Neural Networks. Introduction Design of Primitive Units Perceptrons The Backpropagation Algorithm Advanced Topics. Basics. In contrast to perceptrons, multilayer networks can learn not only multiple decision boundaries, but the boundaries may be nonlinear. Output nodes.

556 views • 22 slides

Artificial Neural Networks

Artificial Neural Networks. Torsten Reil torsten.reil@zoo.ox.ac.uk. Example: Voice Recognition. Task: Learn to discriminate between two different voices saying “Hello” Data Sources Steve Simpson David Raubenheimer Format Frequency distribution (60 bins) Analogy: cochlea.

298 views • 11 slides

Artificial Neural Networks

Artificial Neural Networks. Commercial ANNs.

483 views • 37 slides

Artificial neural networks

Artificial neural networks. Ricardo Ñanculef Alegría Universidad Técnica Federico Santa María Campus Santiago. Learning from Natural Systems. Bio-inspired systems Ants colony Genetic algorithms Artificial neural networks The power of the brain Examples: vision, text-processing

1.26k views • 74 slides

Artificial Neural Networks

Artificial Neural Networks. Dr. Lahouari Ghouti Information & Computer Science Department. Review of Probability Concepts. Why Probabilities. The world is a very uncertain place 30 years of Artificial Intelligence, Machine Learning and Data-mining research evolved around this fact!

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Artificial Neural Networks

Artificial Neural Networks. INTRODUCTION. As we have noted, a glimpse into the natural world reveals that even a small child is able to do numerous tasks at once.

954 views • 72 slides

Artificial Neural Networks

Artificial Neural Networks. Kong Da, Xueyu Lei & Paul McKay. Neural Networks. What is Neural Networks. An Artificial Neural Network is a computational simulation of a biological neural network. composed of a large number of highly interconnected processing elements(neurons )

891 views • 17 slides

Artificial Neural Networks

Artificial Neural Networks. Threshold units Gradient descent Multilayer networks Backpropagation Hidden layer representations Example: Face recognition Advanced topics. Connectionist Models. Consider humans Neuron switching time ~.001 second Number of neurons ~10 10

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Artificial Neural Networks

Artificial Neural Networks. The Brain Brain vs. Computers The Perceptron Multilayer networks Some Applications. Artificial Neural Networks. Other terms/names connectionist parallel distributed processing neural computation adaptive networks.. History

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Artificial Neural Networks

Artificial Neural Networks. Artificial Neural Networks. The basic idea in neural nets is to define interconnected networks of simple units (let's call them "artificial neurons") in which each connection has a weight. Weight w ij is the weight of the i th input into unit j .

520 views • 31 slides

Artificial Neural Networks

Artificial Neural Networks. An Overview and Analysis. Modeling the Human Brain. Artificial Neural Networks concentrate on imitating humans rather than acting as rational agents. The goal in ANNs is to imitate the learning that takes place in the brain.

246 views • 17 slides

Artificial Neural Networks

Artificial Neural Networks. Biointelligence Laboratory Department of Computer Engineering Seoul National University. Contents. Introduction Perceptron and Gradient Descent Algorithm Multilayer Neural Networks Designing an ANN for Face Recognition Application. Introduction.

774 views • 64 slides

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