Mathematics of Neural Networks

Networks.- 29 Learning Algorithms for Ram-Based Neural Networks.- 30 Analysis Of Correlation Matrix Memory and Partial Match-Implications for Cognitive Psychology.- 31 Regularization and Realizability in Radial Basis Function Networks.- 32 A Universal Approximator Network for Learning Conditional Probability Densities.- 33 Convergence af a Class of Neural Networks.- 34 Applications of the Compartmental Model Neuron to Time Series Analysis.- 35 Information Theoretic Neural Networks For Contextually Guided Unsupervised Learning.- 36 Convergence in Noisy Training.- 37 Non-Linear Learning Dynamics with a Diffusing Messenger.- 38 A Variational Approach to Associative Memory.- 39 Transformation of Nonlinear Programming Problems Into Separable Ones Using Multilayer Neural Networks.- 40 A Theory of Self-Organising Neural Networks.- 41 Neural Network Supervised Training Based on a Dimension Reducing Method.- 42 A Training Method for Discrete Multilayer Neural Networks.- 43 Local Minimal Realisations of Trained Hopfield Networks.- 44 Data Dependent Hyperparameter Assignment.- 45 Training Radial Basis Function Networks by Using Separable and Orthogonalized Gaussians.- 46 Error Bounds for Density Estimation by Mixtures.- 47 On Smooth Activation Functions.- 48 Generalisation and Regularisation by Gaussian Filter Convolution of Radial Basis Function Networks.- 49 Dynamical System Prediction: A Lie Algebraic Approach for a Novel Neural Architecture.- 50 Stochastic Neurodynamics and the System Size Expansion.- 51 An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression.- 52 Capacity Bounds for Structured Neural Network Architectures.- 53 On-Line Learning In Multilayer Neural Networks.- 54 Spontaneous Dynamics and Associative Learning in an Assymetric Recurrent Random Neural Network.- 55 A Statistical Mechanics Analysis of Genetic Algorithms for Search and Learning.- 56 Volumes of Attraction Basins in Randomly Connected Boolean Networks.- 57 Evidential Rejection Strategy for Neural Network Classifiers.- 58 Dynamics Approximation and Change Point Retrieval from a Neural Network Model.- 59 Query Learning for Maximum Information Gain in a Multi-Layer Neural Network.- 60 Shift, Rotation and Scale Invariant Signatures for Two-Dimensional Contours, in a Neural Network Architecture.- 61 Function Approximation by Three-Layer Artificial Neural Networks.- 62 Neural Network Versus Statistical Clustering Techniques: A Pilot Study in a Phoneme Recognition Task.- 63 Multispectral Image Analysis Using Pulsed Coupled Neural Networks.- 64 Reasoning Neural Networks.- 65 Capacity of the Upstart Algorithm.- 66 Regression with Gaussian Processes.- 67 Stochastic Forward-Perturbation, Error Surface and Progressive Learning in Neural Networks.- 68 Dynamical Stability of a High-Dimensional Self-Organizing Map.- 69 Measurements of Generalisation Based on Information Geometry.- 70 Towards an Algebraic Theory of Neural Networks: Sequential Composition.