Features
- This unique free application is for all students of Neural Network & Fuzzy Systems across the world. It covers 149 topics of Neural Network & Fuzzy Systems in detail. These 149 topics are divided in 10 units.
- Each topic is around 600 words and is complete with diagrams, equations and other forms of graphical representations along with simple text explaining the concept in detail.
- The USP of this application is "ultra-portability". Students can access the content on-the-go from any where they like.
- Basically, each topic is like a detailed flash card and will make the lives of students simpler and easier.
- Some of topics Covered in this application are:
- 1) Register Allocation and Assignment
- 2) The Lazy-Code-Motion Algorithm
- 3) Matrix Multiply: An In-Depth Example
- 4) Rsa topic 1
- 5) Introduction to Neural Networks
- 6) History of neural networks
- 7) Network architectures
- 8) Artificial Intelligence of neural network
- 9) Knowledge Representation
- 10) Human Brain
- 11) Model of a neuron
- 12) Neural Network as a Directed Graph
- 13) The concept of time in neural networks
- 14) Components of neural Networks
- 15) Network Topologies
- 16) The bias neuron
- 17) Representing neurons
- 18) Order of activation
- 19) Introduction to learning process
- 20) Paradigms of learning
- 21) Training patterns and Teaching input
- 22) Using training samples
- 23) Learning curve and error measurement
- 24) Gradient optimization procedures
- 25) Exemplary problems allow for testing self-coded learning strategies
- 26) Hebbian learning rule
- 27) Genetic Algorithms
- 28) Expert systems
- 29) Fuzzy Systems for Knowledge Engineering
- 30) Neural Networks for Knowledge Engineering
- 31) Feed-forward Networks
- 32) The perceptron, backpropagation and its variants
- 33) A single layer perceptron
- 34) Linear Separability
- 35) A multilayer perceptron
- 36) Resilient Backpropagation
- 37) Initial configuration of a multilayer perceptron
- 38) The 8-3-8 encoding problem
- 39) Back propagation of error
- 40) Components and structure of an RBF network
- 41) Information processing of an RBF network
- 42) Combinations of equation system and gradient strategies
- 43) Centers and widths of RBF neurons
- 44) Growing RBF networks automatically adjust the neuron density
- 45) Comparing RBF networks and multilayer perceptrons
- 46) Recurrent perceptron-like networks
- 47) Elman networks
- 48) Training recurrent networks
- 49) Hopfield networks
- 50) Weight matrix
- 51) Auto association and traditional application
- 52) Heteroassociation and analogies to neural data storage
- 53) Continuous Hopfield networks
- 54) Quantization
- 55) Codebook vectors
- 56) Adaptive Resonance Theory
- 57) Kohonen Self-Organizing Topological Maps
- 58) Unsupervised Self-Organizing Feature Maps
- 59) Learning Vector Quantization Algorithms for Supervised Learning
- 60) Pattern Associations
- 61) The Hopfield Network
- 62) Limitations to using the Hopfield network
- 63) Boltzmann Machines
- 64) Neural Network Models
- 65) Hamming Networks
- 66) Counterpropagation Networks
- 67) RAM-Based Neurons and Networks
- 68) Fuzzy Neurons
- 69) Fuzzy Neural Networks
- 70) Hierarchical and Modular Connectionist Systems
- 71) Neural Networks as a Problem-Solving Paradigm
- 72) Problem Identification and Choosing the Neural Network Model
- 73) Encoding the Information
- 74) The Best Neural Network Model
- 75) Architectures and Approaches to Building Connectionist Expert Systems
- 76) Connectionist Knowledge Bases from Past Data
- 77) Neural Networks Can Memorize and Approximate Fuzzy Rules
- 78) Acquisition of Knowledge
- 79) Destructive Learning
- 80) Competitive Learning Neural Networks for Rules Extraction
- 81) The REFuNN algorithm
- 82) Representing Spatial and Temporal Patterns in Neural Networks
- 83) Pattern Recognition and Classification
- 84) Image Processing
- 85) Speech processing
- 86) MLP for Speech Recognition
- 87) Using SOM for Phoneme Recognition
- 88) Time-Delay Neural Networks for Speech Recognition
- 89) Monitoring
- 90) Connectionist Systems for Diagnosis
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